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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3565-3569,3578

Research on topic detection and expression method for Weibo hot events

Zhou Weixiang
Zhang Yangsen
Zhang Liang
Institute of Intelligent Information Processing, Beijing Information Science & Technology University, Beijing 100101, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0601

Abstract

Aiming at the problem that Weibo text data sparseness is difficult to detect hot topics, this paper proposed a topic detection model based on IDLDA-ITextRank. Firstly, this paper constructed an IDLDA topic text clustering model by introducing the Weibo time series features and word frequency features, and used the model to cluster the text of the same topic into a text set(TS). Secondly, by using the similarity calculation method which combining editing distance and word vector, it constructed the ITextRank text summary and keyword extraction model to extract the summaries and keywords of the TS. Finally, it used the mutual information of words and left-right information entropy to convert the extracted keywords into key topic phrases, and combined the key topic phrases and summaries to express the topic content. Experiments show that IDLDA model has better clustering effect on topic text than the traditional BTM model and LDA model. The key topic phrases and summaries are better than keywords to express and understand the topics of Weibo.

Foundation Support

国家自然科学基金资助项目(61772081)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0601
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3565-3569,3578
Serial Number: 1001-3695(2019)12-009-3565-05

Publish History

[2019-12-05] Printed Article

Cite This Article

周炜翔, 张仰森, 张良. 面向微博热点事件的话题检测及表述方法研究 [J]. 计算机应用研究, 2019, 36 (12): 3565-3569,3578. (Zhou Weixiang, Zhang Yangsen, Zhang Liang. Research on topic detection and expression method for Weibo hot events [J]. Application Research of Computers, 2019, 36 (12): 3565-3569,3578. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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