[Objective] The paper examines the role of comment-clusters in public opinion mining. [Methods] We proposed a model to study the Comment-Clusters based on social network analysis techniques. First, we collected comments received by online news reports on three trending events as raw data. Second, we analysed structures and contents of these comments with the help of the vector relationship among them to identify the best comment-clusters. Finally, we conducted semantic analysis of the key players and their comments to investigate their sentiments and then compared them with those of the whole data set. [Results] The sentiments got from the whole data set and the comment-clusters were very close to each other. Comment-Clusters improved the performance of public opinion mining algorithm. [Limitations] The method of identifying and extracting sentiment words might yield errors. [Conclusions] The comment-clusters improve the sentiment orientation computing, which helps us obtain the public opinion more efficiently.
杨小平,马奇凤,余力,莫雨婷,吴佳楠,张悦. 评论簇在网络舆论中的情感倾向代表性研究*[J]. 现代图书情报技术, 2016, 32(7-8): 51-59.
Yang Xiaoping,Ma Qifeng,Yu Li,Mo Yuting,Wu Jia’nan,Zhang Yue. Gauging Public Opinion with Comment-Clusters. New Technology of Library and Information Service, 2016, 32(7-8): 51-59.
(Liu Ji, Li Lei.Analysis of Public Opinion Propagation Mode Based on Repost Behavior of Microblog Users[J]. Journal of Intelligence, 2013, 32(7): 74-77.)
[3]
林江豪. 中文微博情感分析关键技术研究[D]. 广州: 广东外语外贸大学, 2013.
[3]
(Lin Jianghao.Research on Key Techniques of Chinese Micro-blog Sentiment Analysis [D]. Guangzhou: Guangdong University of Foreign Studies, 2013.)
(Du Jiazhong, Xu Jian, Liu Ying.Research on Construction of Feature-Sentiment Ontology and Sentiment Analysis[J]. New Technology of Library and Information Service, 2014(5): 74-82.)
[6]
韩瑞凯. 基于社区发现的网络舆论导向系统研究与应用[D]. 北京: 北京交通大学, 2010.
[6]
(Han Ruikai.Research and Application of Network Consensus Guidance System Using Community Detection [D]. Beijing: Beijing Jiaotong University, 2010.)
(Huang Xiaobin, Zhao Chao.Application of Text Mining Technology in Analysis of Net-Mediated Public Sentiment[J]. Information Science, 2009, 27(1): 94-99.)
(Li Zhuozhuo, Ding Zihan.Exploring Online Opinion Leadership Based on Social Network Analysis-Public Opinion of College Student Employment Taken for Example[J]. Journal of Intelligence, 2011, 30(11): 67-70.)
(Liu Jianyi, Wang Jinghua, Wang Cong.Keyword Extraction Using Language Network [C]. In: Proceedings of the 3rd National Conference on Information Retrieval and Information Content Security. 2008.)
(Xu Linhong, Lin Hongfei, Pan Yu, et al.Constructing the Affective Lexicon Ontology[J]. Journal of the China Society for Scientific and Technical Information, 2008, 27(2): 180-185.)
(Dang Lei, Zhang Lei.Method of Discriminant for Chinese Sentence Sentiment Orientation Based on HowNet[J]. Application Research of Computers, 2010, 27(4): 1370-1372.)
(Yang Jing, Xin Yu, Xie Zhiqiang.Semantics Social Network Community Detection Algorithm Based on Topic Comprehensive Factor Analysis[J]. Journal of Computer Research and Development, 2014, 51(3): 559-569.)
(Ren Ren, Ji Xiao Wei, Yang Bin.The Characteristics, Function and Control Method of Network Public Opinion[J]. Legal System and Society, 2013(11): 173-175.)
