Objective:In this study,we evaluated the methodological quality of systematic reviews on acupuncture and moxibustion for the prevention and management of cancer-related conditions,aiming to provide evidence-based supp...Objective:In this study,we evaluated the methodological quality of systematic reviews on acupuncture and moxibustion for the prevention and management of cancer-related conditions,aiming to provide evidence-based support and establish levels of evidence for clinical application.Method:A comprehensive search was conducted to identify systematic reviews on acupuncture and mox-ibustion for the prevention and management of cancer-related conditions,covering databases including PubMed,Embase,Cochrane Library,Web of Science,China National Knowledge Infrastructure,Chinese Biomedical Databases,China Science and Technology Journal Database,and Wanfang Data,from their in-ception to August 1,2024.The methodological quality of the included systematic reviews was assessed by using AMSTAR 2,and bubble plots were employed to visualize the evidence.Results:Overall,137 systematic reviews were included,with China being the most prolific country,with 117 reviews.These reviews addressed 21 cancer-related conditions,with the three most frequently stud-ied being cancer-related fatigue(25 reviews),nausea and vomiting(20 reviews),and cancer pain(19 re-views).The three most commonly used acupuncture modalities were manual acupuncture(81 reviews),electroacupuncture(55 reviews),and moxibustion(39 reviews).Quality assessment revealed that one systematic review was rated as“high quality,”eight as“low quality,”and 128 as“critically low quality,”primarily due to the absence of protocol registration and lists of excluded studies.Conclusion:Acupuncture and moxibustion have shown potential efficacy in alleviating cancer-related con-ditions and treatment-related adverse effects,and their clinical use has been widely reported.However,the overall methodological quality of the included systematic reviews was low,limiting the reliability and the strength of the evidence.Future high-quality studies are needed to improve the quality of evidence and support the standardized application and broader promotion of acupuncture and moxibustion clinical practice.展开更多
Sentiment analysis plays an important role in distilling and clarifying content from movie reviews,aiding the audience in understanding universal views towards the movie.However,the abundance of reviews and the risk o...Sentiment analysis plays an important role in distilling and clarifying content from movie reviews,aiding the audience in understanding universal views towards the movie.However,the abundance of reviews and the risk of encountering spoilers pose challenges for efcient sentiment analysis,particularly in Arabic content.Tis study proposed a Stochastic Gradient Descent(SGD)machine learning(ML)model tailored for sentiment analysis in Arabic and English movie reviews.SGD allows for fexible model complexity adjustments,which can adapt well to the Involvement of Arabic language data.Tis adaptability ensures that the model can capture the nuances and specifc local patterns of Arabic text,leading to better performance.Two distinct language datasets were utilized,and extensive pre-processing steps were employed to optimize the datasets for analysis.Te proposed SGD model,designed to accommodate the nuances of each language,aims to surpass existing models in terms of accuracy and efciency.Te SGD model achieves an accuracy of 84.89 on the Arabic dataset and 87.44 on the English dataset,making it the top-performing model in terms of accuracy on both datasets.Tis indicates that the SGD model consistently demonstrates high accuracy levels across Arabic and English datasets.Tis study helps deepen the understanding of sentiments across various linguistic datasets.Unlike many studies that focus solely on movie reviews,the Arabic dataset utilized here includes hotel reviews,ofering a broader perspective.展开更多
Objective:Heterogeneity in the evidence of association between lifestyle factors and breast cancer(BC)incidence hampers initiatives to modify BC risk.This overview aims to synthesise evidence from systematic reviews(S...Objective:Heterogeneity in the evidence of association between lifestyle factors and breast cancer(BC)incidence hampers initiatives to modify BC risk.This overview aims to synthesise evidence from systematic reviews(SRs)to inform lifestyle-related modifications for BC prevention.Methods:We systematically searched(MEDLINE,EMBASE,and CINAHL)from January 2013 to August 2023 for SRs of the association between lifestyle factors[alcohol consumption,physical activity(PA),body mass index(BMI),smoking,breastfeeding,oral contraception(OC),hormone replacement therapy(HRT),and sedentary behavior(SB)]and BC incidence.A narrative data synthesis was performed.Results:Sixty-six SRs met the eligibility criteria.Evidence from 40 SRs indicated consistent associations between the risk of BC and postmenopausal BMI increase(relative risk increase:2%-21%),use of HRT(risk increase:23%-33%),smoking(risk increase:4%-86%),and alcohol consumption(risk increase:4%-61%).Additionally,evidence from 23 SRs suggested protective associations with PA(risk decrease:10%-39%),breastfeeding(risk decrease:9%-53%),and healthy lifestyle scores(protective about 20%-26%).However,inconsistent and/or statistically non-significant associations were found between BC incidence and premenopausal BMI increase[relative risk(RR):0.78-1.08],SB(RR:1.01-1.20),and OC use[odds ratio(OR):1.01-1.35].Conclusions:This overview identifies lifestyle factors associated with BC incidence,highlighting both harmful and protective factors.Our summary findings can support information and interventions related to modifying these factors,including limiting alcohol and smoking,or avoiding postmenopausal BMI increase and HRT.展开更多
This study investigates the significance of e-commerce consumer opinions regarding value in China’s A-share market.By analyzing a large dataset comprising over 18 million online consumer reviews on JD.com,we demonstr...This study investigates the significance of e-commerce consumer opinions regarding value in China’s A-share market.By analyzing a large dataset comprising over 18 million online consumer reviews on JD.com,we demonstrate that sentiments expressed in e-commerce reviews can influence stock returns.This indicates that consumer opinions on the e-commerce platform contain valuable information that can impact the stock market.Our findings show that Consumer Negative Sentiment Tendency(CNST)and One-Star Tendency(OST)have a negative effect on expected stock returns,even after controlling for firm characteristics such as market risk,illiquidity,idiosyncratic volatility,and asset growth.Further analysis indicates that CNST demonstrates stronger predictive power within the home appliance industry,under high sentiment conditions,in growth companies,and among firms with lower accounting transparency.We also find that CNST negatively predicts revenue surprises,earnings surprises,and cash flow shocks.These results suggest that consumer opinions and sentiments derived from e-commerce reviews highlight firms’intrinsic worth and prospects.Future research could explore how firms,including suppliers and logistics companies,can leverage the information conveyed by consumer opinions on e-commerce platforms.展开更多
Against the backdrop of the strategies for rural revitalization and the integration of agriculture,culture,and tourism,farm stay,as a vital carrier,requires a systematic analysis of its resource integration effectiven...Against the backdrop of the strategies for rural revitalization and the integration of agriculture,culture,and tourism,farm stay,as a vital carrier,requires a systematic analysis of its resource integration effectiveness and the actual needs of tourists.Taking Chongqing City as an example,this study leverages tourist reviews from the Dianping platform(China’s leading consumer review site)and employs a combination of TF-IDF keyword extraction,SnowNLP sentiment analysis,and LDA topic modeling to dissect tourists’perception characteristics and latent demands for agritourism resources from the demand side.The findings reveal that agricultural and tourism elements garner significant attention,while cultural resources are notably underperceived,indicating an imbalanced integration structure.Sentiment is predominantly positive,yet negative feedback highlights issues in service management,transportation,and homogenized experiences.Latent demands converge on three dimensions:deepening agricultural experiences,enhancing cultural participation and interaction,and improving environmental and service quality.Based on these findings,this study proposes integration enhancement strategies,including agricultural branding,cultural vitalization,service intelligence,and multi-faceted collaboration,to drive experience upgrades and sustainable development in farm stays,offering theoretical references and practical pathways for rural tourism integration in similar regions.展开更多
Objective:To systematically evaluate the effectiveness of mobile health(mHealth)interventions on self-management and blood pressure(BP)control in patients with hypertension and to provide recommendations for the clini...Objective:To systematically evaluate the effectiveness of mobile health(mHealth)interventions on self-management and blood pressure(BP)control in patients with hypertension and to provide recommendations for the clinic and future research.Methods:Databases including Embase,Cochrane Library,CINAHL,CNKI,SinoMed,Wanfang,and Weipu were searched to collect systematic reviews(SRs)and meta-analyses on mHealth interventions for hypertension management.Two researchers independently screened the articles and extracted data,and the Assessment of Multiple Systematic Reviews(AMSTAR 2)was used to evaluate the methodological quality of the included reviews.Results:A total of 11 SRs were included:1 review was rated as high quality,3 as low quality,and 7 as critically low quality.The mobile phone was the most common intervention type,followed by the internet.Seven reviews performed meta-analyses and showed that mHealth was associated with a significant reduction in systolic blood pressure(SBP),from 2.28 mmHg(95%CI-3.90 to-0.66;I^(2)=40%)to 14.77 mmHg(95%CI 11.76-17.77;I^(2)=89.7%),and diastolic blood pressure(DBP),from 1.50 mmHg(95%CI-2.20 to-0.08;I^(2)=62%)to 8.17 mmHg(95%CI 5.67-10.67;I^(2)=86%).Self-management behaviors included medication adherence(MA),diet,smoking,alcohol drinking,physical activity,and BP monitoring.There were inconsistent results on the effectiveness of mHealth interventions.Conclusions:mHealth interventions can improve BP control,MA,diet,and smoking in patients with hypertension,but the evidence for the efficacy of mHealth on physical activity and alcohol drinking improvement is limited.The methodological quality of existing SRs on the management of BP in patients with hypertension was relatively low,and more well-designed SRs or meta-analyses were needed to provide more evidence.mHealth interventions are useful for improving BP control of patients with hypertension.展开更多
BACKGROUND Systematic reviews(SRs)synthesize and evaluate data,mainly from randomized trials,which then guides the development of clinical recommendations in evidence-based medicine.However,the data and methodological...BACKGROUND Systematic reviews(SRs)synthesize and evaluate data,mainly from randomized trials,which then guides the development of clinical recommendations in evidence-based medicine.However,the data and methodological information in the included papers can often be lacking or unclear,and reviewers usually need to contact the authors of included studies for clarifications.Contacting authors is recommended,but it is unclear how often SR teams do it,or what the level of response is.AIM To investigate how often reviewers undertake contact with the authors of included randomized controlled trials(RCTs)for clarification on data and risk of bias concerns,to explore the factors that influence whether SR authors contact or do not contact the authors,and the content and level of responses.METHODS We conducted a systematic electronic database search in MEDLINE using the search string“(systematic review)”AND“(RCT OR randomized OR trial)”for articles published between 1 January 2024 and 19 February 2024,without language restrictions.Screening and data extraction was done independently by two reviewers,and conflicts resolved by a senior author.Contact authors of included SRs were contacted for clarifications.RESULTS Of the 329 included SRs,38%(n=125)explicitly mentioned contact with the authors of included studies.The remaining 62%(n=204)did not.We attempted contact with all SR teams for clarifications and received 90 responses(19.4%).Of the 50 respondents who did not explicitly mention contact in their SRs,25(50%)replied that they did make contact.We received a total of 64 responses on the level and content of information sought.The mean±SD contacts SR teams made were 10(10),replies received 5(6.7),and response waiting time 10.1(28.3)weeks.Resources,time,poor previous experience,perceived likelihood of poor response and bias concerns were reported as barriers to attempting contact.CONCLUSION The majority of SRs published in 2024 did not confirm seeking clarifying or missing information from primary study authors.However,SR teams reported that 50%of contacted primary authors respond.Additional research can clarify this rate of response and establish methods to increase the integration of this core methodological element in SRs.展开更多
Objective:This cross-sectional study assessed the methodological quality of systematic reviews(SRs)of Chinese herbal medicine(CHM)published in Chinese between Jan 2021 and Sep 2022.Methods:Chinese language CHM SRs wer...Objective:This cross-sectional study assessed the methodological quality of systematic reviews(SRs)of Chinese herbal medicine(CHM)published in Chinese between Jan 2021 and Sep 2022.Methods:Chinese language CHM SRs were identified through literature searches across 3 international and 4 Chinese databases.Methodological quality was appraised using A MeaSurement Tool to Assess systematic Reviews 2.Logistic regressions were used to explore associations between bibliographical characteristics and quality.Results:Analyses of methodological quality found that among the 213 sampled SRs,69.5%were of critically low quality,30.5%were of low quality,and none achieved high or moderate quality.Common shortcomings included the failure to identify the studies excluded from the analysis,failure to disclose funding sources,and limited evaluation of the potential impact of bias on conclusions.Logistic regressions revealed that SRs led by corresponding authors affiliated with universities or academic institutions tended to be of lower quality than SRs led by authors affiliated with hospitals or clinical facilities.Conclusion:Recent Chinese language CHM SRs exhibited limited methodological quality,making them unlikely to support the development of clinical practice guidelines.Urgent initiatives are needed to enhance training for researchers,peer-reviewers and editors involved in the preparation and publication of SRs.Adoption of Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines in Chinese language journals is crucial to improve the relevance of SRs for Chinese medicine development.Addressing deficiencies in methodology and reporting is essential for promoting evidence-based practices and informed clinical decisions in Chinese medicine.展开更多
Fake reviews,also known as deceptive opinions,are used to mislead people and have gained more importance recently.This is due to the rapid increase in online marketing transactions,such as selling and purchasing.E-com...Fake reviews,also known as deceptive opinions,are used to mislead people and have gained more importance recently.This is due to the rapid increase in online marketing transactions,such as selling and purchasing.E-commerce provides a facility for customers to post reviews and comment about the product or service when purchased.New customers usually go through the posted reviews or comments on the website before making a purchase decision.However,the current challenge is how new individuals can distinguish truthful reviews from fake ones,which later deceives customers,inflicts losses,and tarnishes the reputation of companies.The present paper attempts to develop an intelligent system that can detect fake reviews on ecommerce platforms using n-grams of the review text and sentiment scores given by the reviewer.The proposed methodology adopted in this study used a standard fake hotel review dataset for experimenting and data preprocessing methods and a term frequency-Inverse document frequency(TF-IDF)approach for extracting features and their representation.For detection and classification,n-grams of review texts were inputted into the constructed models to be classified as fake or truthful.However,the experiments were carried out using four different supervised machine-learning techniques and were trained and tested on a dataset collected from the Trip Advisor website.The classification results of these experiments showed that na飗e Bayes(NB),support vector machine(SVM),adaptive boosting(AB),and random forest(RF)received 88%,93%,94%,and 95%,respectively,based on testing accuracy and tje F1-score.The obtained results were compared with existing works that used the same dataset,and the proposed methods outperformed the comparable methods in terms of accuracy.展开更多
Movies are the better source of entertainment.Every year,a great percentage of movies are released.People comment on movies in the form of reviews after watching them.Since it is difficult to read all of the reviews f...Movies are the better source of entertainment.Every year,a great percentage of movies are released.People comment on movies in the form of reviews after watching them.Since it is difficult to read all of the reviews for a movie,summarizing all of the reviews will help make this decision without wasting time in reading all of the reviews.Opinion mining also known as sentiment analysis is the process of extracting subjective information from textual data.Opinion mining involves identifying and extracting the opinions of individuals,which can be positive,neutral,or negative.The task of opinion mining also called sentiment analysis is performed to understand people’s emotions and attitudes in movie reviews.Movie reviews are an important source of opinion data because they provide insight into the general public’s opinions about a particular movie.The summary of all reviews can give a general idea about the movie.This study compares baseline techniques,Logistic Regression,Random Forest Classifier,Decision Tree,K-Nearest Neighbor,Gradient Boosting Classifier,and Passive Aggressive Classifier with Linear Support Vector Machines and Multinomial Naïve Bayes on the IMDB Dataset of 50K reviews and Sentiment Polarity Dataset Version 2.0.Before applying these classifiers,in pre-processing both datasets are cleaned,duplicate data is dropped and chat words are treated for better results.On the IMDB Dataset of 50K reviews,Linear Support Vector Machines achieve the highest accuracy of 89.48%,and after hyperparameter tuning,the Passive Aggressive Classifier achieves the highest accuracy of 90.27%,while Multinomial Nave Bayes achieves the highest accuracy of 70.69%and 71.04%after hyperparameter tuning on the Sentiment Polarity Dataset Version 2.0.This study highlights the importance of sentiment analysis as a tool for understanding the emotions and attitudes in movie reviews and predicts the performance of a movie based on the average sentiment of all the reviews.展开更多
With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after ...With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after the use of the item.The enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these items.Sentiment Analysis(SA)is a technique that performs such decision analysis.This research targets the ranking and rating through sentiment analysis of these reviews,on different aspects.As a case study,Songs are opted to design and test the decision model.Different aspects of songs namely music,lyrics,song,voice and video are picked.For the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a dataset.Different machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are applied.ANN performed the best with 74.99%accuracy.Results are validated using K-Fold.展开更多
This study aims to study the effectiveness of online English movie reviews for improving university students’English writing in China.English movie reviews can be profitably undertaken to improve university students...This study aims to study the effectiveness of online English movie reviews for improving university students’English writing in China.English movie reviews can be profitably undertaken to improve university students’writing ability by reading English movie reviews online,discussing topics related to English movie reviews and writing English movie reviews collaboratively.University students have easy access to English movie reviews massively available on the Internet,which renders it possible and feasible for English teachers to use them to improve students’English writing.Online English movie reviews provide students with enough input of model texts,hence they can acquire some appropriate expressions before writing within a short period of time.In addition,discussion on English movie reviews through Emails and QQ platform can activate students’critical thinking to stimulate their original ideas for English movie review writing.Writing English movie reviews collaboratively with the help of Internet can develop students’confidence in writing because of peer feedback and less pressure.展开更多
At present online shopping is very popular as it is very convenient for the customers.However,selecting smartphones from online shops is bit difficult only from the pictures and a short description about the item,and ...At present online shopping is very popular as it is very convenient for the customers.However,selecting smartphones from online shops is bit difficult only from the pictures and a short description about the item,and hence,the customers refer user reviews and star rating.Since user reviews are represented in human languages,sometimes the real semantic of the reviews and satisfaction of the customers are different than what the star rating shows.Also,reading all the reviews are not possible as typically,a smartphone gets thousands of reviews in popular online shopping platform like Amazon.Hence,this work aims to develop a recommended system for smartphones based on aspects of the phones such as screen size,resolution,camera quality,battery life etc.reviewed by users.To that end we apply hybrid approach,which includes three lexicon-based methods and three machine learning modals to analyze specific aspects of user reviews and classify the reviews into six categories--best,better,good or somewhat for positive comments and for negative comments bad or not recommended--.The lexicon-based tool called AFINN together with Random Forest prediction model provides the best classification F1-score 0.95.This system can be customized according to the required aspects of smartphones and the classification of reviews can be done accordingly.展开更多
Objective:To assess the reliability of the methodological quality and outcome measures of systematic reviews(SR)/meta-analysis of premature ovarian insufficiency(POI) treated with acupuncture.Methods:SR/meta-analysis ...Objective:To assess the reliability of the methodological quality and outcome measures of systematic reviews(SR)/meta-analysis of premature ovarian insufficiency(POI) treated with acupuncture.Methods:SR/meta-analysis of POI treated with acupuncture were searched on POI from the databases including PubMed,Web of Science,EMBase,the Cochran Library,Chinese biomedical literature database(SinoMed),China journal full-text database(CNKI),Wanfang data knowledge service platform(Wanfang)and VIP information Chinese periodical service platform(VIP),from inception to 1 st May 2021.Using A Measurement Tool to Assess Systematic Reviews 2(AMSTAR 2) scale and Grades of Recommendations Assessment,Development and Evaluation(GRADE) system,the methodological quality and outcome measures of the included studies were appraised.Results:Ten articles of SR/meta-analysis were included,published from 2015 to 2020.Using AMSTAR 2,5 articles of SR/meta-analysis were rated as critical low quality in methods,3 articles as low quality,and2 articles as moderate quality.The results of GRADE showed that among the 50 outcomes the quality of evidence of 22 outcomes was very low,that of 25 outcomes was low and that of 3 outcomes was moderate.Conclusion:The methodological quality and the reliability of outcome measures were not high in existing SR/meta-analysis on POI treated with acupuncture,which may affect the translation of the SR/metaanalysis findings into clinical practice.It is necessary to further strengthen the methodological quality and reporting standard of SR/meta-analysis,as well as the robustness of design and implementation of randomized controlled trials(RCTs),in order to generate high quality evidences for clinical decision-making and practice.展开更多
Background The clinical efficacy of acupuncture is a topic that has received worldwide attention. In recent years, the rise of evidence-based medicine has led to calls for the clinical curative effects of acupuncture ...Background The clinical efficacy of acupuncture is a topic that has received worldwide attention. In recent years, the rise of evidence-based medicine has led to calls for the clinical curative effects of acupuncture to be tested through objective, standardized, systematic evaluation. The results of systematic reviews for clinical trials on the efficacy of acupuncture directly affect the development of acupuncture medicine. Because of its rigorous methods and its capability to provide the very latest results, the Cochrane Database of Systematic Reviews（CDSR） is recognized worldwide as one of the most reliable sources for scientific evidence. Objective Assess the current system evaluation related to acupuncture in CDSR and the Cochrane Collaboration. Methods Based on the protocols described in the Cochrane library review and the Cochrane Collaboration, and considering the registered titles in the data base, the following key terms were selected： acupuncture, transcutaneous electrical nerve stimulation, electroacupuncture, needle and acupressure. Results The 275 articles were retrieved. According to inclusion and exclusion criteria, 139 articles were eventually chosen for inclusion. We found a growing number of acupuncture related CDSR annual reviews and protocols on the overall Before 2014. The published acupuncture related reviews, protocols and registered titles concerning the subject involve 34 Cochrane Review Groups. Through analyzing the 84 reviews related to acupuncture, we concluded that these studies show a rather low rate of efficacy overall for acupuncture. Of the 84, 19（22.62%） concluded that there is evidence for the efficacy of acupuncture,2（2.38%） showed acupuncture treatment were not more effective than controls and the remaining 63（75.00%） showed that the efficacy of acupuncture were uncertain. Conclusions By analyzing and summarizing the acupuncture reviews published in the CDSR before 2014, we found that current research shows acupuncture treatment is most effective for treating pain and related symptoms（57.89%）. However, studies showing lack of efficacy or uncertain results far outweighed the studies with positive results. We discuss the possible reasons for this and beleive it is related to the overall quality of research, poorly designed sham acupuncture, lack of standard procedures for locating points and needling, and lack of attention to individual differences.展开更多
Objective:In the current systematic review on acupuncture and/or moxibustion for lumbar disc herniation(LDH),we evaluated the methodology and quality of evidence and reports to provide necessary information for accura...Objective:In the current systematic review on acupuncture and/or moxibustion for lumbar disc herniation(LDH),we evaluated the methodology and quality of evidence and reports to provide necessary information for accurate clinical decision-making regarding acupuncture and/or moxibustion for LDH.Methods:From databases such as CBM(Chinese biomedical literature database),VIP(China science and technology journal database),CNKI(China national knowledge infrastructure),WF(Wanfang database),Web of Science,Embase,Medline,and Cochrane Library,systematic reviews on acupuncture and/or moxibustion for LDH were retrieved,and the methodological quality of the literature was evaluated according to the assessment of multiple systematic reviews(AMSTAR)list.Furthermore,the grading of recommendations assessment,development and evaluation(GRADE)system was used to grade the quality of evidence and the preferred reporting items for systematic reviews and meta-analyses(PRISMA)statement to evaluate the quality of the report.Results:A total of 18 systematic reviews were included,and the conclusion is that acupuncture and/or moxibustion have some advantages in terms of efficacy and safety with regard to LDH treatment.According to the AMSTAR score,there were 4 high-quality studies,13 moderate-quality studies,and 1 low-quality study.GRADE showed that quality of evidence such as total effective rate of LDH and VAS was low and that of other forms of evidence was lower.The PRISMA statement showed that 8 articles were in line with 20 or more of the 27 items,and 10 articles were in line with 10-19 of the 27 items.Conclusion:At present,acupuncture and/or moxibustion for LDH has a good curative effect.More importantly,its methodological quality was of moderate level and the report quality was generally good and relatively complete.However,the poor quality of the original research results was reflected in the quality of evidence.More studies are needed to make sure whether acupuncture is more effective than other treatment methods.展开更多
Purpose: Online reviews on tourism attractions provide important references for potential tourists to choose tourism spots. The main goal of this study is conducting sentiment analysis to facilitate users comprehendin...Purpose: Online reviews on tourism attractions provide important references for potential tourists to choose tourism spots. The main goal of this study is conducting sentiment analysis to facilitate users comprehending the large scale of the reviews, based on the comments about Chinese attractions from Japanese tourism website 4 Travel.Design/methodology/approach: Different statistics-and rule-based methods are used to analyze the sentiment of the reviews. Three groups of novel statistics-based methods combining feature selection functions and the traditional term frequency-inverse document frequency(TF-IDF) method are proposed. We also make seven groups of different rulesbased methods. The macro-average and micro-average values for the best classification results of the methods are calculated respectively and the performance of the methods are shown.Findings: We compare the statistics-based and rule-based methods separately and compare the overall performance of the two method. According to the results, it is concluded that the combination of feature selection functions and weightings can strongly improve the overall performance. The emotional vocabulary in the field of tourism(EVT), kaomojis, negative and transitional words can notably improve the performance in all of three categories. The rule-based methods outperform the statistics-based ones with a narrow advantage.Research limitation: Two limitations can be addressed: 1) the empirical studies to verify the validity of the proposed methods are only conducted on Japanese languages; and 2) the deep learning technology is not been incorporated in the methods.Practical implications: The results help to elucidate the intrinsic characteristics of the Japanese language and the influence on sentiment analysis. These findings also provide practical usage guidelines within the field of sentiment analysis of Japanese online tourism reviews.Originality/value: Our research is of practicability. Currently, there are no studies that focus on the sentiment analysis of Japanese reviews about Chinese attractions.展开更多
OBJECTIVE： To summarize Cochrane reviews of acupuncture for neurological disorders, and characteristics of included reviews and studies. DATA SOURCES： A computer-based online search of the Cochrane Library （Issue 7...OBJECTIVE： To summarize Cochrane reviews of acupuncture for neurological disorders, and characteristics of included reviews and studies. DATA SOURCES： A computer-based online search of the Cochrane Library （Issue 7 of 12, July 2010） was performed with the key word ＂acupuncture＂ and systematic evaluations for acupuncture for neurological disorders were screened. STUDY SELECTION： Systematic reviews on acupuncture in the treatment of neurological disorders were included, and the characteristics of these reviews were analyzed based on methods recommended by the Cochrane collaboration. MAIN OUTCOME MEASURES： Basic characteristics, methodological quality, main reasons for excluding trials, results and conclusions of Cochrane reviews were assessed. RESULTS： A total of 18 Cochrane systematic reviews were included, including 13 completed reviews and five research protocols. The 13 completed reviews involved 111 randomized controlled trials, including 43 trials （38.7%） conducted in China, 47 trials （42.3%） using sham-acupuncture or placebo as control, 15 trials （13.5%） with relatively high quality, 91 trials （81.9%） reporting data on follow-up. Primary outcomes used in the Cochrane reviews were reported by 65 trials （58.6%）, and adverse events were reported in 11 trials （9.9%）. Two hundred and eighty three trials were excluded. Two reviews on headache suggested that acupuncture is a valuable non-drug treatment for patients with chronic or recurrent headache, and has better curative effects on migraine compared with preventative drug treatment. CONCLUSION： Of the Cochrane reviews on acupuncture in the treatment of neurological disorders, two reviews evaluating the efficacy of acupuncture in treating headaches drew positive conculsions, while other reviews did not obtain positive conclusions due to a small sample size or low methodological quality. The methodological quality of acupuncture trials needs further improvement.展开更多
基金Supported by WFAS 2023 International Standard Project of Acupuncture-Moxibustion:WFASRP2023-SC05Tianjin Nankai District Pilot Demonstration Project for Integrated Inheritance and Innovation of Traditional Chinese Medicine:20250102001Beijing Natural Science:7252224。
文摘Objective:In this study,we evaluated the methodological quality of systematic reviews on acupuncture and moxibustion for the prevention and management of cancer-related conditions,aiming to provide evidence-based support and establish levels of evidence for clinical application.Method:A comprehensive search was conducted to identify systematic reviews on acupuncture and mox-ibustion for the prevention and management of cancer-related conditions,covering databases including PubMed,Embase,Cochrane Library,Web of Science,China National Knowledge Infrastructure,Chinese Biomedical Databases,China Science and Technology Journal Database,and Wanfang Data,from their in-ception to August 1,2024.The methodological quality of the included systematic reviews was assessed by using AMSTAR 2,and bubble plots were employed to visualize the evidence.Results:Overall,137 systematic reviews were included,with China being the most prolific country,with 117 reviews.These reviews addressed 21 cancer-related conditions,with the three most frequently stud-ied being cancer-related fatigue(25 reviews),nausea and vomiting(20 reviews),and cancer pain(19 re-views).The three most commonly used acupuncture modalities were manual acupuncture(81 reviews),electroacupuncture(55 reviews),and moxibustion(39 reviews).Quality assessment revealed that one systematic review was rated as“high quality,”eight as“low quality,”and 128 as“critically low quality,”primarily due to the absence of protocol registration and lists of excluded studies.Conclusion:Acupuncture and moxibustion have shown potential efficacy in alleviating cancer-related con-ditions and treatment-related adverse effects,and their clinical use has been widely reported.However,the overall methodological quality of the included systematic reviews was low,limiting the reliability and the strength of the evidence.Future high-quality studies are needed to improve the quality of evidence and support the standardized application and broader promotion of acupuncture and moxibustion clinical practice.
文摘Sentiment analysis plays an important role in distilling and clarifying content from movie reviews,aiding the audience in understanding universal views towards the movie.However,the abundance of reviews and the risk of encountering spoilers pose challenges for efcient sentiment analysis,particularly in Arabic content.Tis study proposed a Stochastic Gradient Descent(SGD)machine learning(ML)model tailored for sentiment analysis in Arabic and English movie reviews.SGD allows for fexible model complexity adjustments,which can adapt well to the Involvement of Arabic language data.Tis adaptability ensures that the model can capture the nuances and specifc local patterns of Arabic text,leading to better performance.Two distinct language datasets were utilized,and extensive pre-processing steps were employed to optimize the datasets for analysis.Te proposed SGD model,designed to accommodate the nuances of each language,aims to surpass existing models in terms of accuracy and efciency.Te SGD model achieves an accuracy of 84.89 on the Arabic dataset and 87.44 on the English dataset,making it the top-performing model in terms of accuracy on both datasets.Tis indicates that the SGD model consistently demonstrates high accuracy levels across Arabic and English datasets.Tis study helps deepen the understanding of sentiments across various linguistic datasets.Unlike many studies that focus solely on movie reviews,the Arabic dataset utilized here includes hotel reviews,ofering a broader perspective.
基金funding via a National Breast Cancer Foundation(NBCF)Chair in Breast Cancer Prevention grant(No.EC-21-001)a National Health and Medical Research Council(NHMRC)Investigator(Leader)grant(No.1194410)supported by funding from a NBCF Investigator Initiated Research Scheme grant(No.2023/IIRS0028)。
文摘Objective:Heterogeneity in the evidence of association between lifestyle factors and breast cancer(BC)incidence hampers initiatives to modify BC risk.This overview aims to synthesise evidence from systematic reviews(SRs)to inform lifestyle-related modifications for BC prevention.Methods:We systematically searched(MEDLINE,EMBASE,and CINAHL)from January 2013 to August 2023 for SRs of the association between lifestyle factors[alcohol consumption,physical activity(PA),body mass index(BMI),smoking,breastfeeding,oral contraception(OC),hormone replacement therapy(HRT),and sedentary behavior(SB)]and BC incidence.A narrative data synthesis was performed.Results:Sixty-six SRs met the eligibility criteria.Evidence from 40 SRs indicated consistent associations between the risk of BC and postmenopausal BMI increase(relative risk increase:2%-21%),use of HRT(risk increase:23%-33%),smoking(risk increase:4%-86%),and alcohol consumption(risk increase:4%-61%).Additionally,evidence from 23 SRs suggested protective associations with PA(risk decrease:10%-39%),breastfeeding(risk decrease:9%-53%),and healthy lifestyle scores(protective about 20%-26%).However,inconsistent and/or statistically non-significant associations were found between BC incidence and premenopausal BMI increase[relative risk(RR):0.78-1.08],SB(RR:1.01-1.20),and OC use[odds ratio(OR):1.01-1.35].Conclusions:This overview identifies lifestyle factors associated with BC incidence,highlighting both harmful and protective factors.Our summary findings can support information and interventions related to modifying these factors,including limiting alcohol and smoking,or avoiding postmenopausal BMI increase and HRT.
基金supported by the National Natural Science Foundation of China under projects No.62302319R&D Program of Beijing Municipal Education Commission(Grant No.KM202210038002).
文摘This study investigates the significance of e-commerce consumer opinions regarding value in China’s A-share market.By analyzing a large dataset comprising over 18 million online consumer reviews on JD.com,we demonstrate that sentiments expressed in e-commerce reviews can influence stock returns.This indicates that consumer opinions on the e-commerce platform contain valuable information that can impact the stock market.Our findings show that Consumer Negative Sentiment Tendency(CNST)and One-Star Tendency(OST)have a negative effect on expected stock returns,even after controlling for firm characteristics such as market risk,illiquidity,idiosyncratic volatility,and asset growth.Further analysis indicates that CNST demonstrates stronger predictive power within the home appliance industry,under high sentiment conditions,in growth companies,and among firms with lower accounting transparency.We also find that CNST negatively predicts revenue surprises,earnings surprises,and cash flow shocks.These results suggest that consumer opinions and sentiments derived from e-commerce reviews highlight firms’intrinsic worth and prospects.Future research could explore how firms,including suppliers and logistics companies,can leverage the information conveyed by consumer opinions on e-commerce platforms.
基金Chongqing University of Science and Technology Graduate Innovation Program Project(YKJCX2420802)。
文摘Against the backdrop of the strategies for rural revitalization and the integration of agriculture,culture,and tourism,farm stay,as a vital carrier,requires a systematic analysis of its resource integration effectiveness and the actual needs of tourists.Taking Chongqing City as an example,this study leverages tourist reviews from the Dianping platform(China’s leading consumer review site)and employs a combination of TF-IDF keyword extraction,SnowNLP sentiment analysis,and LDA topic modeling to dissect tourists’perception characteristics and latent demands for agritourism resources from the demand side.The findings reveal that agricultural and tourism elements garner significant attention,while cultural resources are notably underperceived,indicating an imbalanced integration structure.Sentiment is predominantly positive,yet negative feedback highlights issues in service management,transportation,and homogenized experiences.Latent demands converge on three dimensions:deepening agricultural experiences,enhancing cultural participation and interaction,and improving environmental and service quality.Based on these findings,this study proposes integration enhancement strategies,including agricultural branding,cultural vitalization,service intelligence,and multi-faceted collaboration,to drive experience upgrades and sustainable development in farm stays,offering theoretical references and practical pathways for rural tourism integration in similar regions.
基金supported by Chongqing Science and Technology Bureau Technology Innovation and Application Development Project(No.cstc2019jscx-msxmX0170)Chongqing Science and Health Joint Medical Research Project(No.2021MSXM208).
文摘Objective:To systematically evaluate the effectiveness of mobile health(mHealth)interventions on self-management and blood pressure(BP)control in patients with hypertension and to provide recommendations for the clinic and future research.Methods:Databases including Embase,Cochrane Library,CINAHL,CNKI,SinoMed,Wanfang,and Weipu were searched to collect systematic reviews(SRs)and meta-analyses on mHealth interventions for hypertension management.Two researchers independently screened the articles and extracted data,and the Assessment of Multiple Systematic Reviews(AMSTAR 2)was used to evaluate the methodological quality of the included reviews.Results:A total of 11 SRs were included:1 review was rated as high quality,3 as low quality,and 7 as critically low quality.The mobile phone was the most common intervention type,followed by the internet.Seven reviews performed meta-analyses and showed that mHealth was associated with a significant reduction in systolic blood pressure(SBP),from 2.28 mmHg(95%CI-3.90 to-0.66;I^(2)=40%)to 14.77 mmHg(95%CI 11.76-17.77;I^(2)=89.7%),and diastolic blood pressure(DBP),from 1.50 mmHg(95%CI-2.20 to-0.08;I^(2)=62%)to 8.17 mmHg(95%CI 5.67-10.67;I^(2)=86%).Self-management behaviors included medication adherence(MA),diet,smoking,alcohol drinking,physical activity,and BP monitoring.There were inconsistent results on the effectiveness of mHealth interventions.Conclusions:mHealth interventions can improve BP control,MA,diet,and smoking in patients with hypertension,but the evidence for the efficacy of mHealth on physical activity and alcohol drinking improvement is limited.The methodological quality of existing SRs on the management of BP in patients with hypertension was relatively low,and more well-designed SRs or meta-analyses were needed to provide more evidence.mHealth interventions are useful for improving BP control of patients with hypertension.
文摘BACKGROUND Systematic reviews(SRs)synthesize and evaluate data,mainly from randomized trials,which then guides the development of clinical recommendations in evidence-based medicine.However,the data and methodological information in the included papers can often be lacking or unclear,and reviewers usually need to contact the authors of included studies for clarifications.Contacting authors is recommended,but it is unclear how often SR teams do it,or what the level of response is.AIM To investigate how often reviewers undertake contact with the authors of included randomized controlled trials(RCTs)for clarification on data and risk of bias concerns,to explore the factors that influence whether SR authors contact or do not contact the authors,and the content and level of responses.METHODS We conducted a systematic electronic database search in MEDLINE using the search string“(systematic review)”AND“(RCT OR randomized OR trial)”for articles published between 1 January 2024 and 19 February 2024,without language restrictions.Screening and data extraction was done independently by two reviewers,and conflicts resolved by a senior author.Contact authors of included SRs were contacted for clarifications.RESULTS Of the 329 included SRs,38%(n=125)explicitly mentioned contact with the authors of included studies.The remaining 62%(n=204)did not.We attempted contact with all SR teams for clarifications and received 90 responses(19.4%).Of the 50 respondents who did not explicitly mention contact in their SRs,25(50%)replied that they did make contact.We received a total of 64 responses on the level and content of information sought.The mean±SD contacts SR teams made were 10(10),replies received 5(6.7),and response waiting time 10.1(28.3)weeks.Resources,time,poor previous experience,perceived likelihood of poor response and bias concerns were reported as barriers to attempting contact.CONCLUSION The majority of SRs published in 2024 did not confirm seeking clarifying or missing information from primary study authors.However,SR teams reported that 50%of contacted primary authors respond.Additional research can clarify this rate of response and establish methods to increase the integration of this core methodological element in SRs.
基金supported by Chinese Medicine Development Fund of the Hong Kong SAR(No.21B2/018A)。
文摘Objective:This cross-sectional study assessed the methodological quality of systematic reviews(SRs)of Chinese herbal medicine(CHM)published in Chinese between Jan 2021 and Sep 2022.Methods:Chinese language CHM SRs were identified through literature searches across 3 international and 4 Chinese databases.Methodological quality was appraised using A MeaSurement Tool to Assess systematic Reviews 2.Logistic regressions were used to explore associations between bibliographical characteristics and quality.Results:Analyses of methodological quality found that among the 213 sampled SRs,69.5%were of critically low quality,30.5%were of low quality,and none achieved high or moderate quality.Common shortcomings included the failure to identify the studies excluded from the analysis,failure to disclose funding sources,and limited evaluation of the potential impact of bias on conclusions.Logistic regressions revealed that SRs led by corresponding authors affiliated with universities or academic institutions tended to be of lower quality than SRs led by authors affiliated with hospitals or clinical facilities.Conclusion:Recent Chinese language CHM SRs exhibited limited methodological quality,making them unlikely to support the development of clinical practice guidelines.Urgent initiatives are needed to enhance training for researchers,peer-reviewers and editors involved in the preparation and publication of SRs.Adoption of Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines in Chinese language journals is crucial to improve the relevance of SRs for Chinese medicine development.Addressing deficiencies in methodology and reporting is essential for promoting evidence-based practices and informed clinical decisions in Chinese medicine.
文摘Fake reviews,also known as deceptive opinions,are used to mislead people and have gained more importance recently.This is due to the rapid increase in online marketing transactions,such as selling and purchasing.E-commerce provides a facility for customers to post reviews and comment about the product or service when purchased.New customers usually go through the posted reviews or comments on the website before making a purchase decision.However,the current challenge is how new individuals can distinguish truthful reviews from fake ones,which later deceives customers,inflicts losses,and tarnishes the reputation of companies.The present paper attempts to develop an intelligent system that can detect fake reviews on ecommerce platforms using n-grams of the review text and sentiment scores given by the reviewer.The proposed methodology adopted in this study used a standard fake hotel review dataset for experimenting and data preprocessing methods and a term frequency-Inverse document frequency(TF-IDF)approach for extracting features and their representation.For detection and classification,n-grams of review texts were inputted into the constructed models to be classified as fake or truthful.However,the experiments were carried out using four different supervised machine-learning techniques and were trained and tested on a dataset collected from the Trip Advisor website.The classification results of these experiments showed that na飗e Bayes(NB),support vector machine(SVM),adaptive boosting(AB),and random forest(RF)received 88%,93%,94%,and 95%,respectively,based on testing accuracy and tje F1-score.The obtained results were compared with existing works that used the same dataset,and the proposed methods outperformed the comparable methods in terms of accuracy.
文摘Movies are the better source of entertainment.Every year,a great percentage of movies are released.People comment on movies in the form of reviews after watching them.Since it is difficult to read all of the reviews for a movie,summarizing all of the reviews will help make this decision without wasting time in reading all of the reviews.Opinion mining also known as sentiment analysis is the process of extracting subjective information from textual data.Opinion mining involves identifying and extracting the opinions of individuals,which can be positive,neutral,or negative.The task of opinion mining also called sentiment analysis is performed to understand people’s emotions and attitudes in movie reviews.Movie reviews are an important source of opinion data because they provide insight into the general public’s opinions about a particular movie.The summary of all reviews can give a general idea about the movie.This study compares baseline techniques,Logistic Regression,Random Forest Classifier,Decision Tree,K-Nearest Neighbor,Gradient Boosting Classifier,and Passive Aggressive Classifier with Linear Support Vector Machines and Multinomial Naïve Bayes on the IMDB Dataset of 50K reviews and Sentiment Polarity Dataset Version 2.0.Before applying these classifiers,in pre-processing both datasets are cleaned,duplicate data is dropped and chat words are treated for better results.On the IMDB Dataset of 50K reviews,Linear Support Vector Machines achieve the highest accuracy of 89.48%,and after hyperparameter tuning,the Passive Aggressive Classifier achieves the highest accuracy of 90.27%,while Multinomial Nave Bayes achieves the highest accuracy of 70.69%and 71.04%after hyperparameter tuning on the Sentiment Polarity Dataset Version 2.0.This study highlights the importance of sentiment analysis as a tool for understanding the emotions and attitudes in movie reviews and predicts the performance of a movie based on the average sentiment of all the reviews.
文摘With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after the use of the item.The enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these items.Sentiment Analysis(SA)is a technique that performs such decision analysis.This research targets the ranking and rating through sentiment analysis of these reviews,on different aspects.As a case study,Songs are opted to design and test the decision model.Different aspects of songs namely music,lyrics,song,voice and video are picked.For the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a dataset.Different machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are applied.ANN performed the best with 74.99%accuracy.Results are validated using K-Fold.
文摘This study aims to study the effectiveness of online English movie reviews for improving university students’English writing in China.English movie reviews can be profitably undertaken to improve university students’writing ability by reading English movie reviews online,discussing topics related to English movie reviews and writing English movie reviews collaboratively.University students have easy access to English movie reviews massively available on the Internet,which renders it possible and feasible for English teachers to use them to improve students’English writing.Online English movie reviews provide students with enough input of model texts,hence they can acquire some appropriate expressions before writing within a short period of time.In addition,discussion on English movie reviews through Emails and QQ platform can activate students’critical thinking to stimulate their original ideas for English movie review writing.Writing English movie reviews collaboratively with the help of Internet can develop students’confidence in writing because of peer feedback and less pressure.
文摘At present online shopping is very popular as it is very convenient for the customers.However,selecting smartphones from online shops is bit difficult only from the pictures and a short description about the item,and hence,the customers refer user reviews and star rating.Since user reviews are represented in human languages,sometimes the real semantic of the reviews and satisfaction of the customers are different than what the star rating shows.Also,reading all the reviews are not possible as typically,a smartphone gets thousands of reviews in popular online shopping platform like Amazon.Hence,this work aims to develop a recommended system for smartphones based on aspects of the phones such as screen size,resolution,camera quality,battery life etc.reviewed by users.To that end we apply hybrid approach,which includes three lexicon-based methods and three machine learning modals to analyze specific aspects of user reviews and classify the reviews into six categories--best,better,good or somewhat for positive comments and for negative comments bad or not recommended--.The lexicon-based tool called AFINN together with Random Forest prediction model provides the best classification F1-score 0.95.This system can be customized according to the required aspects of smartphones and the classification of reviews can be done accordingly.
基金Supported by National Key R&D Program of China2019YFC1712200International standards research on clinical research and service of AcupunctureMoxibustion2019YFC1712205。
文摘Objective:To assess the reliability of the methodological quality and outcome measures of systematic reviews(SR)/meta-analysis of premature ovarian insufficiency(POI) treated with acupuncture.Methods:SR/meta-analysis of POI treated with acupuncture were searched on POI from the databases including PubMed,Web of Science,EMBase,the Cochran Library,Chinese biomedical literature database(SinoMed),China journal full-text database(CNKI),Wanfang data knowledge service platform(Wanfang)and VIP information Chinese periodical service platform(VIP),from inception to 1 st May 2021.Using A Measurement Tool to Assess Systematic Reviews 2(AMSTAR 2) scale and Grades of Recommendations Assessment,Development and Evaluation(GRADE) system,the methodological quality and outcome measures of the included studies were appraised.Results:Ten articles of SR/meta-analysis were included,published from 2015 to 2020.Using AMSTAR 2,5 articles of SR/meta-analysis were rated as critical low quality in methods,3 articles as low quality,and2 articles as moderate quality.The results of GRADE showed that among the 50 outcomes the quality of evidence of 22 outcomes was very low,that of 25 outcomes was low and that of 3 outcomes was moderate.Conclusion:The methodological quality and the reliability of outcome measures were not high in existing SR/meta-analysis on POI treated with acupuncture,which may affect the translation of the SR/metaanalysis findings into clinical practice.It is necessary to further strengthen the methodological quality and reporting standard of SR/meta-analysis,as well as the robustness of design and implementation of randomized controlled trials(RCTs),in order to generate high quality evidences for clinical decision-making and practice.
基金Supported by National Natural Science Foundation of China:8140349481303025,reference number:2014CB543201
文摘Background The clinical efficacy of acupuncture is a topic that has received worldwide attention. In recent years, the rise of evidence-based medicine has led to calls for the clinical curative effects of acupuncture to be tested through objective, standardized, systematic evaluation. The results of systematic reviews for clinical trials on the efficacy of acupuncture directly affect the development of acupuncture medicine. Because of its rigorous methods and its capability to provide the very latest results, the Cochrane Database of Systematic Reviews（CDSR） is recognized worldwide as one of the most reliable sources for scientific evidence. Objective Assess the current system evaluation related to acupuncture in CDSR and the Cochrane Collaboration. Methods Based on the protocols described in the Cochrane library review and the Cochrane Collaboration, and considering the registered titles in the data base, the following key terms were selected： acupuncture, transcutaneous electrical nerve stimulation, electroacupuncture, needle and acupressure. Results The 275 articles were retrieved. According to inclusion and exclusion criteria, 139 articles were eventually chosen for inclusion. We found a growing number of acupuncture related CDSR annual reviews and protocols on the overall Before 2014. The published acupuncture related reviews, protocols and registered titles concerning the subject involve 34 Cochrane Review Groups. Through analyzing the 84 reviews related to acupuncture, we concluded that these studies show a rather low rate of efficacy overall for acupuncture. Of the 84, 19（22.62%） concluded that there is evidence for the efficacy of acupuncture,2（2.38%） showed acupuncture treatment were not more effective than controls and the remaining 63（75.00%） showed that the efficacy of acupuncture were uncertain. Conclusions By analyzing and summarizing the acupuncture reviews published in the CDSR before 2014, we found that current research shows acupuncture treatment is most effective for treating pain and related symptoms（57.89%）. However, studies showing lack of efficacy or uncertain results far outweighed the studies with positive results. We discuss the possible reasons for this and beleive it is related to the overall quality of research, poorly designed sham acupuncture, lack of standard procedures for locating points and needling, and lack of attention to individual differences.
基金The study was financially supported by the Major Program of the National Natural Science Foundation of China(No.81590951).
文摘Objective:In the current systematic review on acupuncture and/or moxibustion for lumbar disc herniation(LDH),we evaluated the methodology and quality of evidence and reports to provide necessary information for accurate clinical decision-making regarding acupuncture and/or moxibustion for LDH.Methods:From databases such as CBM(Chinese biomedical literature database),VIP(China science and technology journal database),CNKI(China national knowledge infrastructure),WF(Wanfang database),Web of Science,Embase,Medline,and Cochrane Library,systematic reviews on acupuncture and/or moxibustion for LDH were retrieved,and the methodological quality of the literature was evaluated according to the assessment of multiple systematic reviews(AMSTAR)list.Furthermore,the grading of recommendations assessment,development and evaluation(GRADE)system was used to grade the quality of evidence and the preferred reporting items for systematic reviews and meta-analyses(PRISMA)statement to evaluate the quality of the report.Results:A total of 18 systematic reviews were included,and the conclusion is that acupuncture and/or moxibustion have some advantages in terms of efficacy and safety with regard to LDH treatment.According to the AMSTAR score,there were 4 high-quality studies,13 moderate-quality studies,and 1 low-quality study.GRADE showed that quality of evidence such as total effective rate of LDH and VAS was low and that of other forms of evidence was lower.The PRISMA statement showed that 8 articles were in line with 20 or more of the 27 items,and 10 articles were in line with 10-19 of the 27 items.Conclusion:At present,acupuncture and/or moxibustion for LDH has a good curative effect.More importantly,its methodological quality was of moderate level and the report quality was generally good and relatively complete.However,the poor quality of the original research results was reflected in the quality of evidence.More studies are needed to make sure whether acupuncture is more effective than other treatment methods.
基金supported by the National Natural Science Foundation of China under the grant #71373286 and # 71603189the Major Project of the Ministry of Education of China (Grant No. 17JZD034)
文摘Purpose: Online reviews on tourism attractions provide important references for potential tourists to choose tourism spots. The main goal of this study is conducting sentiment analysis to facilitate users comprehending the large scale of the reviews, based on the comments about Chinese attractions from Japanese tourism website 4 Travel.Design/methodology/approach: Different statistics-and rule-based methods are used to analyze the sentiment of the reviews. Three groups of novel statistics-based methods combining feature selection functions and the traditional term frequency-inverse document frequency(TF-IDF) method are proposed. We also make seven groups of different rulesbased methods. The macro-average and micro-average values for the best classification results of the methods are calculated respectively and the performance of the methods are shown.Findings: We compare the statistics-based and rule-based methods separately and compare the overall performance of the two method. According to the results, it is concluded that the combination of feature selection functions and weightings can strongly improve the overall performance. The emotional vocabulary in the field of tourism(EVT), kaomojis, negative and transitional words can notably improve the performance in all of three categories. The rule-based methods outperform the statistics-based ones with a narrow advantage.Research limitation: Two limitations can be addressed: 1) the empirical studies to verify the validity of the proposed methods are only conducted on Japanese languages; and 2) the deep learning technology is not been incorporated in the methods.Practical implications: The results help to elucidate the intrinsic characteristics of the Japanese language and the influence on sentiment analysis. These findings also provide practical usage guidelines within the field of sentiment analysis of Japanese online tourism reviews.Originality/value: Our research is of practicability. Currently, there are no studies that focus on the sentiment analysis of Japanese reviews about Chinese attractions.
文摘OBJECTIVE： To summarize Cochrane reviews of acupuncture for neurological disorders, and characteristics of included reviews and studies. DATA SOURCES： A computer-based online search of the Cochrane Library （Issue 7 of 12, July 2010） was performed with the key word ＂acupuncture＂ and systematic evaluations for acupuncture for neurological disorders were screened. STUDY SELECTION： Systematic reviews on acupuncture in the treatment of neurological disorders were included, and the characteristics of these reviews were analyzed based on methods recommended by the Cochrane collaboration. MAIN OUTCOME MEASURES： Basic characteristics, methodological quality, main reasons for excluding trials, results and conclusions of Cochrane reviews were assessed. RESULTS： A total of 18 Cochrane systematic reviews were included, including 13 completed reviews and five research protocols. The 13 completed reviews involved 111 randomized controlled trials, including 43 trials （38.7%） conducted in China, 47 trials （42.3%） using sham-acupuncture or placebo as control, 15 trials （13.5%） with relatively high quality, 91 trials （81.9%） reporting data on follow-up. Primary outcomes used in the Cochrane reviews were reported by 65 trials （58.6%）, and adverse events were reported in 11 trials （9.9%）. Two hundred and eighty three trials were excluded. Two reviews on headache suggested that acupuncture is a valuable non-drug treatment for patients with chronic or recurrent headache, and has better curative effects on migraine compared with preventative drug treatment. CONCLUSION： Of the Cochrane reviews on acupuncture in the treatment of neurological disorders, two reviews evaluating the efficacy of acupuncture in treating headaches drew positive conculsions, while other reviews did not obtain positive conclusions due to a small sample size or low methodological quality. The methodological quality of acupuncture trials needs further improvement.
