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Detection and Extraction of Hot Topics on Chinese Microblogs

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Abstract

Peoples’ perceptions of reality are conditioned on how others see the world. Unfortunately, with the vast amount of information made available through online media, such as microblog sites, it is impossible for people to absorb all information in a timely manner. Therefore, the detection of hot topics on a microblog platform is becoming increasingly important. The present paper proposes a new hot-topic detection and extraction approach based on language and topic models, which analyzes the differences in emotion distribution language models between adjacent time intervals to detect hot topics. According to the contents and repost degree of microblogs, we estimate the importance of each microblog and generate topic models. Experiments conducted on the Sina Microblog show that the proposed approach can detect and extract hot topics effectively and can thus assist the Sina Microblog platform in managing and monitoring hot topics.

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Funding

This work is partially supported by grant from the Natural Science Foundation of China (Nos. 61402075, 61572102, 61277370), Natural Science Foundation of Liaoning Province, China (Nos. 201202031, 2014020003), and State Education Ministry and The Research Fund for the Doctoral Program of Higher Education (No. 20090041110002).

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Authors and Affiliations

  1. School of Computer Science and Technology, Dalian University of Technology, Dalian, China

    Liang Yang & Hongfei Lin

  2. WISE Lab, Dalian University of Technology, Dalian, China

    Yuan Lin & Shengbo Liu

Authors
  1. Liang Yang
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  2. Hongfei Lin
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  3. Yuan Lin
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  4. Shengbo Liu
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Correspondence to Liang Yang.

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Conflict of Interest

Liang Yang, Hongfei Lin, Yuan Lin, and Shengbo Liu declare that they have no conflict of interest.

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All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008 (5). Additional informed consent was obtained from all patients for which identifying information is included in this article.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Yang, L., Lin, H., Lin, Y. et al. Detection and Extraction of Hot Topics on Chinese Microblogs. Cogn Comput 8, 577–586 (2016). https://doi.org/10.1007/s12559-015-9380-6

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  • DOI: https://doi.org/10.1007/s12559-015-9380-6

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