大数据背景下主流融媒体热点发现机制研究被引量：10

Hot Topics Discovery Mechanism of Mainstream Media Convergence in the Big Data Era

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摘要【目的/意义】为提升主流融媒体意识形态建设和舆论引导能力,解决大数据时代背景下主流融媒体多模态信息资源管理的困境,构建高效的热点发现机制。【方法/过程】笔者着眼于主流融媒体热点发现需求构建需求体系,然后利用Scrapy-Redis框架、HBase数据库和MapReduce实现了数据的精准采集、有序存储和高效处理,再基于多模态信息融合的理念,借助NLP技术对信息资源的特征进行提取,最后利用LDA2vec模型和Single-Pass算法实现了信息归集和热点的发现与更新。【结果/结论】仿真实验结果表明,本研究所使用的方法,能够较好地实现多模态信息的归集和热点的提取,效果较同类模型有明显提升。【创新/局限】但是在运用NLP技术处理多模态信息时各处理环节的衔接尚不够流畅,后续仍需进行改进提升。【Purpose/significance】In order to improve the ideological construction and public opinion guidance ability of mainstream media convergence and solve the dilemma of multimodal information resource management of mainstream media convergence in the era of big data,build an efficient hot spot discovery mechanism.【Method/process】Focusing on the hot spot discovery needs of mainstream media convergence,the author constructs the demand system,and then realizes the accurate collection,orderly storage and efficient processing of data by using the Scrapy-Redis framework,HBase database and MapReduce.Based on the concept of multimodal information fusion,the author extracts the characteristics of information resources with the help of NLP technology,Finally,LDA2 vec model and single-pass algorithm are used to realize information collection and hot topics discovery and update.【Result/conclusion】The simulation results show that the method used in this study can better realize the collection of multimodal information and the extraction of hot spots,and the effect is significantly improved compared with similar models.【Innovation/limitation】However,when using NLP technology to process multi-modal information,the connection of each processing link is not smooth enough,and it still needs to be improved in the follow-up.

作者崔金栋李晨雨李菲菲 CUI Jin-dong;LI Chen-yu;LI Fei-fei(School of Economic and Management,Northeast Electric Power University,Jilin 132000,China)

机构地区东北电力大学经济管理学院

出处《情报科学》 CSSCI 北大核心 2021年第12期72-79,共8页 Information Science

基金国家社会科学基金项目“大数据时代主流融媒体信息资源管理机制研究”(20BTQ090)。

关键词主流融媒体热点发现大数据多模态信息融合主题聚类 mainstream media convergence hot topics discovery big data multi-modal information fusion topic clustering

分类号 G206.3 [文化科学—传播学]