Realtime Online Hot Topics Prediction in Sina Weibo for News Earlier Report | |
Yuan, S (Yuan, Sha)1; Tao, Z (Tao, Zhe)2; Zhu, TS (Zhu, Tingshao)3; Bai, ST (Bai, Shuotian)1 | |
2017 | |
通讯作者邮箱 | baishuotian@hbue.edu.cn |
会议名称 | 2017 IEEE 31ST INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA) |
会议录名称 | : International Conference on Advanced Information Networking and Applications |
页码 | 599-605 |
会议日期 | MAR 27-29, 2017 |
会议地点 | Tamkang Univ, Taipei, TAIWAN |
摘要 | With the continuous growth of micro-blog services, Sina Weibo is increasingly found in the daily lives of ordinary Chinese individuals. More than one hundred million tweets are released in Sina Weibo everyday. By analyzing these mass data timely, media companies could learn how to generate buzz for new films, famous stars, or fashion shows more effectively. However, how to predict which topics will be the most popular search terms in Sina Weibo in realtime remains unknown. In this paper, we present a realtime hot topic prediction method in an online platform. Experiments are carried out on the platform to evaluate the proposed scheme. The results show that our model gets an average precision 44.32% and the median value is 45.83%. The proposed hot topic prediction method can predict the hot topics about 9.5 hours in average in advance. |
关键词 | Hot Topic Prediction Sina Weibo Topic Extraction Topic Clustering |
DOI | 10.1109/AINA.2017.66 |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/26565 |
专题 | 社会与工程心理学研究室 |
作者单位 | 1.Hubei Univ Econ, Sch Informat Engn, Wuhan, Peoples R China 2.Beijing Juzi Technol Ltd, Dept Data Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Yuan, S ,Tao, Z ,Zhu, TS ,et al. Realtime Online Hot Topics Prediction in Sina Weibo for News Earlier Report[C],2017:599-605. |
条目包含的文件 | 条目无相关文件。 |
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