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The Scientific World Journal
Volume 2014, Article ID 360934, 11 pages
Research Article

A Prerecognition Model for Hot Topic Discovery Based on Microblogging Data

1State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China
2Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China

Received 9 May 2014; Accepted 11 August 2014; Published 26 August 2014

Academic Editor: Xiaoying Bai

Copyright © 2014 Tongyu Zhu and Jianjun Yu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Yongtao Ye, Yajun Du, and Xia Fu, “Hot topic extraction based on Chinese Microblog's Features topic model,” 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), pp. 348–353, . View at Publisher · View at Google Scholar
  • Zhao Lu, Yu-Ru Lin, Xiaoxia Huang, Naixue Xiong, and Zhijun Fang, “Visual topic discovering, tracking and summarization from social media streams,” Multimedia Tools and Applications, 2016. View at Publisher · View at Google Scholar
  • Amal Rekik, and Salma Jamoussi, “Deep learning for hot topic extraction from social streams,” Advances in Intelligent Systems and Computing, vol. 552, pp. 186–197, 2017. View at Publisher · View at Google Scholar
  • Siong Choy Chong, Binshan Lin, and Jin Yang Wu, “Individual user satisfaction with Sina Weibo: An exploratory study,” International Journal of Mobile Communications, vol. 15, no. 2, pp. 162–184, 2017. View at Publisher · View at Google Scholar