[1]方然,苗夺谦,张志飞.一种基于情感的中文微博话题检测方法[J].智能系统学报,2013,8(3):208-213.
FANG Ran,MIAO Duoqian,ZHANG Zhifei.An emotion-based method of topic detection from Chinese microblogs[J].CAAI Transactions on Intelligent Systems,2013,8(3):208-213.
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FANG Ran,MIAO Duoqian,ZHANG Zhifei.An emotion-based method of topic detection from Chinese microblogs[J].CAAI Transactions on Intelligent Systems,2013,8(3):208-213.
一种基于情感的中文微博话题检测方法
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
8
期数:
2013年第3期
页码:
208-213
栏目:
学术论文—自然语言处理与理解
出版日期:
2013-06-25
- Title:
- An emotion-based method of topic detection from Chinese microblogs
- 文章编号:
- 1673-4785(2013)03-0208-06
- Keywords:
- Chinese microblogs; topic detection; clustering; emotion
- 分类号:
- TP391
- 文献标志码:
- A
- 参考文献/References:
-
［1］LUNDEN I. Analyst: Twitter passed 500M users in June 2012, 140M of them in US［EB/OL］. ［2013-03-26］. http://techcrunch.com/2012/07/30/analyst-twitter-passed-500m-users-in-june-2012-140m-of-them-in-us-jakarta-biggest-tweeting-city/.
［2］RAMAGE D, DUMAIS S, LIEBLING D. Characterizing microblogs with topic models［C］//Proceedings of the 4th International AAAI Conference on Weblogs and Social Media. Washington, DC, USA: The AAAI Press, 2010: 130-137.
［3］洪宇，张宇，刘挺，等．话题检测与跟踪的评测与研究综述［J］．中文信息学报, 2007, 21(6): 71-85. HONG Yu, ZHANG Yu, LIU Ting, et al. Topic detection and tracking review［J］. Journal of Chinese Information Processing, 2007, 21(6): 71-85
［4］YANG Y M, PIERCE T, CARBONELL J. A study of retrospective and on-line event detection［C］//Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, USA: ACM, 1998: 28-36.
［5］ALLAN J, CARBONELL J, DOODINGTON G, et al. Topic detection and tracking pilot study final report［C］//Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop. Lansdowne, USA, 1988: 194-218.
［6］SAKAKI T, OKAZAKI M, MATSUO Y. Earthquake shakes Twitter user: real-time event detection by social sensors［C］//Proceedings of the 19th International Conference on World Wide Web. New York, USA: ACM, 2010: 851-861.
［7］郑斐然，苗夺谦，张志飞，等．一种中文微博新闻话题检测的方法［J］．计算机科学, 2012, 39(1): 138-140. ZHENG Feiran, MIAO Duoqian, ZHANG Zhifei, et al. News topic detection approach on Chinese microblog［J］. Computer Science, 2012, 39(1): 138-140.
［8］GARCIA D, GARAS A, SCHWEITZER F. Positive words carry less information than negative words［J］. EPJ Data Science, 2012, 1(1): 1-16.
［9］印桂生，张亚楠，董宇欣．基于提升系数的微博异常排名检测方法［J］．哈尔滨工程大学学报, 2013, 34(4): 488-493. YIN Guisheng, ZHANG Ya’nan, DONG Yuxin. A boost factor based detection method for abnormal rank of microblogging［J］. Journal of Harbin Engineering University, 2013, 34(4): 488-493.
［10］张晓艳，王挺．话题发现与追踪技术研究［J］．计算机科学与探索, 2009, 3(4): 347-357. ZHANG Xiaoyan, WANG Ting. Research of technologies on topic detection and tracking［J］. Journal of Frontiers of Computer Science & Technology, 2009, 3(4): 347-357.
［11］ZHANG Huaping, YU Hongkui, XIONG Deyi, et al. HHMM-based Chinese lexical analyzer ICTCLAS［C］//Proceedings of the 2nd SIGHAN Workshop on Chinese Language Processing. Stroudsburg, USA, 2003, 17: 184-187.
［12］陈岳峰，苗夺谦，李文，等．基于概念的词汇情感倾向识别方法［J］．智能系统学报, 2011, 6(6): 489-493. CHEN Yuefeng, MIAO Duoqian, LI Wen, et al. Semantic orientation computing based on concepts［J］. CAAI Transactions on Intelligent Systems, 2011, 6(6): 489-493.
备注/Memo
收稿日期： 2013-01-09.
网络出版日期： 2013-05-15.
基金项目：国家自然科学基金资助项目（60970061,61075056,61103067）；中央高校基本科研业务费专项资金资助项目(基于云计算的高效数据挖掘算法研究).
通信作者：方然.
E-mail: ufo2243@gmail.com.
作者简介：方然，男，1988年生，硕士研究生，主要研究方向为自然语言处理、智能信息处理、数据挖掘.
苗夺谦，男，1964年生，教授，博士生导师，中国计算机学会高级会员、中国人工智能学会理事、上海市计算机学会理事.主要研究方向为智能信息处理、粗糙集、粒计算、网络智能、数据挖掘等.已主持完成国家级、省部级自然科学基金与科技攻关项目多项，并参与完成国家“973”计划项目1项、“863”计划项目2项等.曾获国家教委科技进步三等奖、教育部科技进步一等奖、上海市科技发明一等奖、重庆市自然科学一等奖等.发表学术论文160余篇，其中被SCI、EI检索80余篇，出版教材及学术著作9部，授权专利9项. 张志飞，男，1986年生，博士研究生，主要研究方向为文本挖掘、自然语言处理.
更新日期/Last Update:
2013-08-29