摘要
Short text theme discovery is the discovery of hot topic from short text data in mass. As the micro-blog social network has distinct characteristics of the network language, new words emerge in an endless stream. This paper presents an improved method for short text theme found, First, based on HMM model discovered new words to the text, new words are added to the user dictionary, and then we use discovery results of new words to build LDA model, finally, get the document clustering-topic distribution. The experimental results show that this method can effectively enhance the comprehensiveness and accuracy of the topic discovery and is more suitable for theme mining under social network environment.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 33rd Chinese Control Conference, CCC 2014 |
| 编辑 | Shengyuan Xu, Qianchuan Zhao |
| 出版商 | IEEE Computer Society |
| 页 | 512-516 |
| 页数 | 5 |
| ISBN（电子版） | 9789881563842 |
| DOI | |
| 出版状态 | 已出版 - 11 9月 2014 |
| 活动 | Proceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, 中国 期限: 28 7月 2014 → 30 7月 2014 |
出版系列
| 姓名 | Proceedings of the 33rd Chinese Control Conference, CCC 2014 |
|---|---|
| ISSN（印刷版） | 1934-1768 |
| ISSN（电子版） | 2161-2927 |
会议
| 会议 | Proceedings of the 33rd Chinese Control Conference, CCC 2014 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Nanjing |
| 时期 | 28/07/14 → 30/07/14 |
指纹
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Liu, J., Wang, Q., Liu, Y., & Li, Y. (2014). A short text topic discovery method for social network. 在 S. Xu, & Q. Zhao (编辑), Proceedings of the 33rd Chinese Control Conference, CCC 2014 (页码 512-516). 文章 6896676 (Proceedings of the 33rd Chinese Control Conference, CCC 2014). IEEE Computer Society. https://doi.org/10.1109/ChiCC.2014.6896676