This paper reported an acoustic experiment examining the effect of topic structure and syntax on boundary pitch parameters. Simple discourses containing three sentences were constructed and the boundary between the fi...This paper reported an acoustic experiment examining the effect of topic structure and syntax on boundary pitch parameters. Simple discourses containing three sentences were constructed and the boundary between the first sentence and the second sentence of each discourse varied along the following parameters： （1） topic internal, clause; （2） topic shift, clause; （3） topic internal, sentence; and （4） topic shift, sentence. Seven native speakers of Standard Chinese read the short discourses aloud. The offset f0, f0 Max, and f0 Min of the first sentence and the onset f0, f0 Max, and f0 Min of the second sentence were measured. It was found that relative to topic internal condition, topic shift condition induced higher onset f0 following the boundary. Moreover, this higher onset f0 was caused by the raising of both f0 max and f0 min, suggesting pitch register raising rather than pitch range expansion following the boundary. Syntactic structure as index by clause or sentence was found to have no effect on boundary pitch parameters. These results provide strong evidence for a role of topic strucutre in speech production展开更多
To comprehend the syntax and semantics of small clauses(SCs)requires comprehending their topic structure.With bare infinitival complements,the subject of the SC is not the topic,which is in comparison with adjectival ...To comprehend the syntax and semantics of small clauses(SCs)requires comprehending their topic structure.With bare infinitival complements,the subject of the SC is not the topic,which is in comparison with adjectival SCs,where the subject must be a topic.By comparing raising verbs with adjectival SC complements and raising verbs with infinitival complements,it is quite clear that the differences in the syntax and semantics of such constructions are related to whether or not the subject of the embedded clause must be a topic.Adjectival SCs have individuals as topics,while verbal SCs have events or stages.Because the subject of the adjectival SC is a topic,it can move into the matrix clause under passivization.The subject of a verbal SC is not a topic;this explains why it cannot move into the matrix under passivization.展开更多
This study explored user satisfaction with mobile payments by applying a novel structural topic model.Specifically,we collected 17,927 online reviews of a specific mobile payment(i.e.,PayPal).Then,we employed a struct...This study explored user satisfaction with mobile payments by applying a novel structural topic model.Specifically,we collected 17,927 online reviews of a specific mobile payment(i.e.,PayPal).Then,we employed a structural topic model to investigate the relationship between the attributes extracted from online reviews and user satisfaction with mobile payment.Consequently,we discovered that“lack of reliability”and“poor customer service”tend to appear in negative reviews.Whereas,the terms“convenience,”“user-friendly interface,”“simple process,”and“secure system”tend to appear in positive reviews.On the basis of information system success theory,we categorized the topics“convenience,”“user-friendly interface,”and“simple process,”as system quality.In addition,“poor customer service”was categorized as service quality.Furthermore,based on the previous studies of trust and security,“lack of reliability”and“secure system”were categorized as trust and security,respectively.These outcomes indicate that users are satisfied when they perceive that system quality and security of specific mobile payments are great.On the contrary,users are dissatisfied when they feel that service quality and reliability of specific mobile payments is lacking.Overall,our research implies that a novel structural topic model is an effective method to explore mobile payment user experience.展开更多
Forest habitats are critical for biodiversity,ecosystem services,human livelihoods,and well-being.Capacity to conduct theoretical and applied forest ecology research addressing direct(e.g.,deforestation)and indirect(e...Forest habitats are critical for biodiversity,ecosystem services,human livelihoods,and well-being.Capacity to conduct theoretical and applied forest ecology research addressing direct(e.g.,deforestation)and indirect(e.g.,climate change)anthropogenic pressures has benefited considerably from new field-and statistical-techniques.We used machine learning and bibliometric structural topic modelling to identify 20 latent topics comprising four principal fields from a corpus of 16,952 forest ecology/forestry articles published in eight ecology and five forestry journals between 2010 and 2022.Articles published per year increased from 820 in 2010 to 2,354 in 2021,shifting toward more applied topics.Publications from China and some countries in North America and Europe dominated,with relatively fewer articles from some countries in West and Central Africa and West Asia,despite globally important forest resources.Most study sites were in some countries in North America,Central Asia,and South America,and Australia.Articles utilizing R statistical software predominated,increasing from 29.5%in 2010 to 71.4%in 2022.The most frequently used packages included lme4,vegan,nlme,MuMIn,ggplot2,car,MASS,mgcv,multcomp and raster.R was more often used in forest ecology than applied forestry articles.R software offers advantages in script and workflow-sharing compared to other statistical packages.Our findings demonstrate that the disciplines of forest ecology/forestry are expanding both in number and scope,aided by more sophisticated statistical tools,to tackle the challenges of redressing forest habitat loss and the socio-economic impacts of deforestation.展开更多
This paper presents a semantic explanation for the acceptability-unacceptability contrast between complex noun phrases(NPs) with apparently similar syntax. It also tries to present a corresponding semantic explanation...This paper presents a semantic explanation for the acceptability-unacceptability contrast between complex noun phrases(NPs) with apparently similar syntax. It also tries to present a corresponding semantic explanation for the acceptability-unacceptability contrast between corresponding topical structures with apparently similar syntax. After showing that the complex NPs must be licensed by the characterization condition and the topical structures must be licensed by the aboutness condition, the paper analyzes the semantic identification of restrictives from nonrestrictives. This is closely related to the(dis)satisfaction of the characterization condition and therefore the(un)acceptability of(apparent) recursive complex NPs, as well as the(dis)satisfaction of the aboutness condition and therefore the(un)acceptability of corresponding topical structures in both English and Chinese.展开更多
Purpose-This study aims to provide a comprehensive analysis of two-sided matching(TSM)research,an interdisciplinary field that integrates both theoretical and practical perspectives.By examining 756 research articles ...Purpose-This study aims to provide a comprehensive analysis of two-sided matching(TSM)research,an interdisciplinary field that integrates both theoretical and practical perspectives.By examining 756 research articles from the Web of Science database,this paper seeks to identify key trends,collaboration patterns and emerging research topics within the TSM domain.Design/methodology/approach-The research utilizes bibliometric analysis combined with a structural topic model to analyze TSM-related articles published between January 1,2000,and September 30,2022.The study identifies leading subfields,journals,countries/regions and institutions based on publication volume,total citations and average citations per article.Interaction and collaboration patterns among these entities are examined through co-occurrence and coupling networks.Additionally,five major research topics are identified and explored using topic modeling and co-word networks.This hybrid knowledge mining approach better reveals the inherent structural changes in topic clusters.Topic distribution and network analysis are beneficial in capturing the attention allocation of different entities to knowledge.Findings-The analysis reveals five prominent research topics in TSM:communication resource allocation,stable matching research,computing task assignment,TSM decision-making and market matching mechanism design.These topics represent the main directions of TSM research.The study also uncovers a shift in research focus from theoretical aspects to practical applications.Furthermore,the distribution of knowledge and interaction patterns among key entities align with the identified research trends.Originality/value-This study offers a novel and detailed overview of TSM research highlighting significant trends and collaboration patterns within the field.By integrating bibliometric methods with structural topic modeling the study provides unique insights into the evolution of TSM research making it a valuable resource for both academic and professional communities.展开更多
Purpose-This study aims to reveal the technological development trajectories within the fuzzy field,addressing the long-standing gap between the extensive application of fuzzy technologies and the lack of a comprehens...Purpose-This study aims to reveal the technological development trajectories within the fuzzy field,addressing the long-standing gap between the extensive application of fuzzy technologies and the lack of a comprehensive,data-driven understanding of their developmental logic and evolution.Design/methodology/approach-An integrated methodological framework combining structural topic modeling(STM)and main path analysis(MPA)is developed.A total of 43,905 patents related to fuzzy technologies were collected from the Derwent Innovation Index.STM is applied to identify 12 representative topics within the fuzzy technology field,followed by the construction of topic-specific citation networks.MPA is then used to extract the core development paths across these topics,capturing structural dynamics and knowledge diffusion.This integration enables a multidimensional exploration of topic structures and technology trajectories,providing a frame of reference for analyzing other emerging technologies.Findings-The combined STM-MPA approach effectively identifies the classification and developmental trajectories of fuzzy-related technologies.Results highlight topic-specific knowledge flows and inter-topic linkages,offering new insights into the internal evolution and external integration of fuzzy technologies.The study demonstrates how different subfields of fuzzy technologies have progressed and interacted over time.Originality/value-This study is among the first to systematically explore the development of fuzzy technologies using large-scale patent data and a hybrid analytical framework.By integrating topic modeling with citation analysis,it captures both topic patterns and development paths.The approach enhances existing methods in technology analysis and offers new insights for innovation research,policy design and enterprise strategy.展开更多
Artificial intelligence(AI)has emerged as a pivotal force in empowering entrepreneurial development,which plays an increasingly important role in its opportunity discovery and creation,resource integration,and value c...Artificial intelligence(AI)has emerged as a pivotal force in empowering entrepreneurial development,which plays an increasingly important role in its opportunity discovery and creation,resource integration,and value creation.Although attention and research interest in AI within entrepreneurship research have grown substantially,existing studies remain dispersed and lack systematic integration.This study adopts an unsupervised machine-learning approach,Structural Topic Model(STM),which combines automated coding with manual coding,to analyze 122 articles retrieved from the Web of Science.This study maps the current landscape of research on AI-enabled entrepreneurship across its antecedents,contextual settings,processes,outcomes,theoretical lenses,and methodological tools.The analysis reveals six areas requiring further inquiry:(1)deepening the study of motivational mechanisms,(2)enriching research on contextual fields,(3)exploring pathway mechanisms more thoroughly,(4)examining the positive and negative effects of AI empowerment,(5)breaking new ground in underlying theoretical logic,and(6)integrating diverse technological approaches.Building on these insights,it proposes a future research framework and agenda that(1)investigates the motivation of AI-enabled entrepreneurship in the macro,meso,micro,and cross-level scales;(2)conducts multi-contextual studies spanning regions,industries,and domains;(3)analyzes process pathways from cross-level and dynamic perspectives;(4)attends comprehensively to both positive outcomes and potential negatives of AI-enabled entrepreneurship;and(5)develops a distinctive theoretical system grounded in emerging practices,supported by robust data,tools,and methods.By synthesizing the extant literature and outlining this framework,this study offers a reference for enriching and deepening research on AI-enabled entrepreneurship.展开更多
Since ancient times,zoology,as the branch of biology dealing with animals,has been a cornerstone of natural science and has developed substantially over the last century.We conducted a bibliometric analysis using stru...Since ancient times,zoology,as the branch of biology dealing with animals,has been a cornerstone of natural science and has developed substantially over the last century.We conducted a bibliometric analysis using structural topic modeling(STM)to determine changes in the representation of principal zoological subdisciplines in the literature between 1960 and 2022.We collated a corpus of 217414 articles from 88 top-ranked zoology journals and identified three main fields:(i)ecology,(ii)evolution,and(iii)applied research.Within these,we identified 10 major subdisciplines.The number of studies published per year grew from 118 in 1960 to 6635 in 2022.Macroscale-related subdisciplines increased while classical and traditional subdisciplines decreased.Mammals(34.4%)and insects(18.1%)were the dominant taxa covered,followed by birds(15.2%)and fish(8.0%).Research on mammals,insects,and fish involved a broad range of subdisciplines,whereas studies of birds focused on ecological subdisciplines.Most publications were from the United States,followed by the United Kingdom,Germany,Canada,Australia,China,and Japan,with two developing countries,China and South Africa among the top 15 countries.There were different subdiscipline biases between countries,and the gross domestic product of each country correlated positively with its publication output(R^(2)=0.681).We discuss our findings in the context of advances in technological innovations and computing power,as well as the emergence of ecology as a formal sister discipline,driven by changing environmental pressures and societal values.We caution that valuable publications from traditional zoological fields must not be completely supplanted by more contemporary topics and increasingly sophisticated analyses.展开更多
文摘This paper reported an acoustic experiment examining the effect of topic structure and syntax on boundary pitch parameters. Simple discourses containing three sentences were constructed and the boundary between the first sentence and the second sentence of each discourse varied along the following parameters： （1） topic internal, clause; （2） topic shift, clause; （3） topic internal, sentence; and （4） topic shift, sentence. Seven native speakers of Standard Chinese read the short discourses aloud. The offset f0, f0 Max, and f0 Min of the first sentence and the onset f0, f0 Max, and f0 Min of the second sentence were measured. It was found that relative to topic internal condition, topic shift condition induced higher onset f0 following the boundary. Moreover, this higher onset f0 was caused by the raising of both f0 max and f0 min, suggesting pitch register raising rather than pitch range expansion following the boundary. Syntactic structure as index by clause or sentence was found to have no effect on boundary pitch parameters. These results provide strong evidence for a role of topic strucutre in speech production
基金sponsored by the program“The Topic Structure of Small Clauses”(No.X202110452162).
文摘To comprehend the syntax and semantics of small clauses(SCs)requires comprehending their topic structure.With bare infinitival complements,the subject of the SC is not the topic,which is in comparison with adjectival SCs,where the subject must be a topic.By comparing raising verbs with adjectival SC complements and raising verbs with infinitival complements,it is quite clear that the differences in the syntax and semantics of such constructions are related to whether or not the subject of the embedded clause must be a topic.Adjectival SCs have individuals as topics,while verbal SCs have events or stages.Because the subject of the adjectival SC is a topic,it can move into the matrix clause under passivization.The subject of a verbal SC is not a topic;this explains why it cannot move into the matrix under passivization.
基金This work was supported by a National Research Foundation of Korea(NRF)grant funded by the Korean government(NRF-2020R1A2C1014957).
文摘This study explored user satisfaction with mobile payments by applying a novel structural topic model.Specifically,we collected 17,927 online reviews of a specific mobile payment(i.e.,PayPal).Then,we employed a structural topic model to investigate the relationship between the attributes extracted from online reviews and user satisfaction with mobile payment.Consequently,we discovered that“lack of reliability”and“poor customer service”tend to appear in negative reviews.Whereas,the terms“convenience,”“user-friendly interface,”“simple process,”and“secure system”tend to appear in positive reviews.On the basis of information system success theory,we categorized the topics“convenience,”“user-friendly interface,”and“simple process,”as system quality.In addition,“poor customer service”was categorized as service quality.Furthermore,based on the previous studies of trust and security,“lack of reliability”and“secure system”were categorized as trust and security,respectively.These outcomes indicate that users are satisfied when they perceive that system quality and security of specific mobile payments are great.On the contrary,users are dissatisfied when they feel that service quality and reliability of specific mobile payments is lacking.Overall,our research implies that a novel structural topic model is an effective method to explore mobile payment user experience.
基金financially supported by the National Natural Science Foundation of China(31971541).
文摘Forest habitats are critical for biodiversity,ecosystem services,human livelihoods,and well-being.Capacity to conduct theoretical and applied forest ecology research addressing direct(e.g.,deforestation)and indirect(e.g.,climate change)anthropogenic pressures has benefited considerably from new field-and statistical-techniques.We used machine learning and bibliometric structural topic modelling to identify 20 latent topics comprising four principal fields from a corpus of 16,952 forest ecology/forestry articles published in eight ecology and five forestry journals between 2010 and 2022.Articles published per year increased from 820 in 2010 to 2,354 in 2021,shifting toward more applied topics.Publications from China and some countries in North America and Europe dominated,with relatively fewer articles from some countries in West and Central Africa and West Asia,despite globally important forest resources.Most study sites were in some countries in North America,Central Asia,and South America,and Australia.Articles utilizing R statistical software predominated,increasing from 29.5%in 2010 to 71.4%in 2022.The most frequently used packages included lme4,vegan,nlme,MuMIn,ggplot2,car,MASS,mgcv,multcomp and raster.R was more often used in forest ecology than applied forestry articles.R software offers advantages in script and workflow-sharing compared to other statistical packages.Our findings demonstrate that the disciplines of forest ecology/forestry are expanding both in number and scope,aided by more sophisticated statistical tools,to tackle the challenges of redressing forest habitat loss and the socio-economic impacts of deforestation.
基金support from the National Humanities and Social Sciences Foundation of China (Grant No. 15BYY070)
文摘This paper presents a semantic explanation for the acceptability-unacceptability contrast between complex noun phrases(NPs) with apparently similar syntax. It also tries to present a corresponding semantic explanation for the acceptability-unacceptability contrast between corresponding topical structures with apparently similar syntax. After showing that the complex NPs must be licensed by the characterization condition and the topical structures must be licensed by the aboutness condition, the paper analyzes the semantic identification of restrictives from nonrestrictives. This is closely related to the(dis)satisfaction of the characterization condition and therefore the(un)acceptability of(apparent) recursive complex NPs, as well as the(dis)satisfaction of the aboutness condition and therefore the(un)acceptability of corresponding topical structures in both English and Chinese.
基金supported by the Social Science Foundation Project of Jiangsu Province,China(20GLC010)National Statistical Science Research Project(2024LY021).
文摘Purpose-This study aims to provide a comprehensive analysis of two-sided matching(TSM)research,an interdisciplinary field that integrates both theoretical and practical perspectives.By examining 756 research articles from the Web of Science database,this paper seeks to identify key trends,collaboration patterns and emerging research topics within the TSM domain.Design/methodology/approach-The research utilizes bibliometric analysis combined with a structural topic model to analyze TSM-related articles published between January 1,2000,and September 30,2022.The study identifies leading subfields,journals,countries/regions and institutions based on publication volume,total citations and average citations per article.Interaction and collaboration patterns among these entities are examined through co-occurrence and coupling networks.Additionally,five major research topics are identified and explored using topic modeling and co-word networks.This hybrid knowledge mining approach better reveals the inherent structural changes in topic clusters.Topic distribution and network analysis are beneficial in capturing the attention allocation of different entities to knowledge.Findings-The analysis reveals five prominent research topics in TSM:communication resource allocation,stable matching research,computing task assignment,TSM decision-making and market matching mechanism design.These topics represent the main directions of TSM research.The study also uncovers a shift in research focus from theoretical aspects to practical applications.Furthermore,the distribution of knowledge and interaction patterns among key entities align with the identified research trends.Originality/value-This study offers a novel and detailed overview of TSM research highlighting significant trends and collaboration patterns within the field.By integrating bibliometric methods with structural topic modeling the study provides unique insights into the evolution of TSM research making it a valuable resource for both academic and professional communities.
基金supported by the National Statistical Science Research Project of China(No.2024LY021).
文摘Purpose-This study aims to reveal the technological development trajectories within the fuzzy field,addressing the long-standing gap between the extensive application of fuzzy technologies and the lack of a comprehensive,data-driven understanding of their developmental logic and evolution.Design/methodology/approach-An integrated methodological framework combining structural topic modeling(STM)and main path analysis(MPA)is developed.A total of 43,905 patents related to fuzzy technologies were collected from the Derwent Innovation Index.STM is applied to identify 12 representative topics within the fuzzy technology field,followed by the construction of topic-specific citation networks.MPA is then used to extract the core development paths across these topics,capturing structural dynamics and knowledge diffusion.This integration enables a multidimensional exploration of topic structures and technology trajectories,providing a frame of reference for analyzing other emerging technologies.Findings-The combined STM-MPA approach effectively identifies the classification and developmental trajectories of fuzzy-related technologies.Results highlight topic-specific knowledge flows and inter-topic linkages,offering new insights into the internal evolution and external integration of fuzzy technologies.The study demonstrates how different subfields of fuzzy technologies have progressed and interacted over time.Originality/value-This study is among the first to systematically explore the development of fuzzy technologies using large-scale patent data and a hybrid analytical framework.By integrating topic modeling with citation analysis,it captures both topic patterns and development paths.The approach enhances existing methods in technology analysis and offers new insights for innovation research,policy design and enterprise strategy.
基金supported by the National Natural Science Foundation of China(No.72091313).
文摘Artificial intelligence(AI)has emerged as a pivotal force in empowering entrepreneurial development,which plays an increasingly important role in its opportunity discovery and creation,resource integration,and value creation.Although attention and research interest in AI within entrepreneurship research have grown substantially,existing studies remain dispersed and lack systematic integration.This study adopts an unsupervised machine-learning approach,Structural Topic Model(STM),which combines automated coding with manual coding,to analyze 122 articles retrieved from the Web of Science.This study maps the current landscape of research on AI-enabled entrepreneurship across its antecedents,contextual settings,processes,outcomes,theoretical lenses,and methodological tools.The analysis reveals six areas requiring further inquiry:(1)deepening the study of motivational mechanisms,(2)enriching research on contextual fields,(3)exploring pathway mechanisms more thoroughly,(4)examining the positive and negative effects of AI empowerment,(5)breaking new ground in underlying theoretical logic,and(6)integrating diverse technological approaches.Building on these insights,it proposes a future research framework and agenda that(1)investigates the motivation of AI-enabled entrepreneurship in the macro,meso,micro,and cross-level scales;(2)conducts multi-contextual studies spanning regions,industries,and domains;(3)analyzes process pathways from cross-level and dynamic perspectives;(4)attends comprehensively to both positive outcomes and potential negatives of AI-enabled entrepreneurship;and(5)develops a distinctive theoretical system grounded in emerging practices,supported by robust data,tools,and methods.By synthesizing the extant literature and outlining this framework,this study offers a reference for enriching and deepening research on AI-enabled entrepreneurship.
文摘Since ancient times,zoology,as the branch of biology dealing with animals,has been a cornerstone of natural science and has developed substantially over the last century.We conducted a bibliometric analysis using structural topic modeling(STM)to determine changes in the representation of principal zoological subdisciplines in the literature between 1960 and 2022.We collated a corpus of 217414 articles from 88 top-ranked zoology journals and identified three main fields:(i)ecology,(ii)evolution,and(iii)applied research.Within these,we identified 10 major subdisciplines.The number of studies published per year grew from 118 in 1960 to 6635 in 2022.Macroscale-related subdisciplines increased while classical and traditional subdisciplines decreased.Mammals(34.4%)and insects(18.1%)were the dominant taxa covered,followed by birds(15.2%)and fish(8.0%).Research on mammals,insects,and fish involved a broad range of subdisciplines,whereas studies of birds focused on ecological subdisciplines.Most publications were from the United States,followed by the United Kingdom,Germany,Canada,Australia,China,and Japan,with two developing countries,China and South Africa among the top 15 countries.There were different subdiscipline biases between countries,and the gross domestic product of each country correlated positively with its publication output(R^(2)=0.681).We discuss our findings in the context of advances in technological innovations and computing power,as well as the emergence of ecology as a formal sister discipline,driven by changing environmental pressures and societal values.We caution that valuable publications from traditional zoological fields must not be completely supplanted by more contemporary topics and increasingly sophisticated analyses.
