基于多类别语义词簇的新闻读者情绪分类

被引:6
作者
温雯 [1 ]
吴彪 [1 ]
蔡瑞初 [1 ]
郝志峰 [1 ,2 ]
王丽娟 [1 ]
机构
[1] 广东工业大学计算机学院
[2] 佛山科学技术学院数据与大数据学院
关键词
情感分析; 情绪分类; 语义词簇; 多标签学习; word2vec;
D O I
暂无
中图分类号
TP391.1 [文字信息处理];
学科分类号
081203 ; 0835 ;
摘要
分析和研究文本读者情绪有助于发现互联网的负面信息,是舆情监控的重要组成部分。考虑到引起读者不同情绪主要因素在于文本的语义内容,如何抽取文本语义特征因此成为一个重要问题。针对这一问题,提出首先使用word2vec模型对文本进行初始的语义表达;在此基础上结合各个情绪类别分别构建有代表性的语义词簇,进而采用一定准则筛选对类别判断有效的词簇,从而将传统的文本词向量表达改进为语义词簇上的向量表达;最后使用多标签分类方法进行情绪标签的学习和分类。实验结果表明,该方法相对于现有的代表性方法来说能够获得更好的精度和稳定性。
引用
收藏
页码:2076 / 2081
页数:6
相关论文
共 17 条
[1]  
A feature selection method based on Fisher’’s discriminant ratio for text sentiment classification. WANG S,LI D,WEI Y,et al. WISM 2009:Proceedings of the 2009 International Conference on Web Information Systems and Mining . 2009
[2]  
Word embedding composition for data imbalances in sentiment and emotion classification. XU R,CHEN T,XIA Y,et al. Cognitive Computation . 2015
[3]  
Document modeling with convolutionalgated recurrent neural network for sentiment classification. TANG D,QIN B,LIU T. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing . 2015
[4]  
Learning semantic representations of users and products for document level sentiment classification. TANG D,QIN B,LIU T. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing . 2015
[5]  
Distributed representations of words and phrases and their compositionality. Mikolov T,Sutskever I,Chen K,et al. Advances in Neural Information Processing Systems . 2013
[6]  
Efficient Estimation of Word Representations inVector Space. Mikolov T,C hen K,Corrado G.et a l. ICLR Workshop . 2013
[7]  
Efficient Estimation of Word Representations inVector Space. Mikolov T,C hen K,Corrado G.et a l. ICLR Workshop . 2013
[8]  
Retrieving topical sentiments from online document collections. M. Hurst,K. Nigam. Document Recognition and Retrieval XI . 2004
[9]  
Sentence Emotion Analysis And Recognition Based on Emotion Words Using Ren- CECps. QUAN Changqin,REN Fuji. International Journal of Advanced Intelli- gence . 2010
[10]  
Predicting the semantic orientation of adjectives. Vasileios Hatzivassiloglou,Kathleen R McKcown. Proceedings of the Thirty-Fifth Annual Meeting of the Association for Computational Linguistics and the Eighth Conference of the European Chapter of the Association for Computational Linguistics . 1997