全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于层叠模型细粒度情感要素抽取及倾向分析*

DOI: 10.16451/j.cnki.issn1003-6059.201506005, PP. 513-520

Keywords: 情感计算,情感要素,语义角色,语法依存树,词义聚类

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对商品评论中的细粒度情感要素抽取问题,提出基于条件随机场模型(CRFs)和支持向量机(SVM)的层叠模型.针对情感对象与情感词的识别,将评论的句法信息、语义信息等引入CRFs模型,进一步提高CRFs特征模板的鲁棒性.在SVM模型中,引入情感对象和情感词的深层词义及情感词的基本情感倾向等特征,改进传统的词包模型,对〈情感对象,情感词〉词对进行细粒度的情感分类判断,从而获得商品评论中的情感关键信息:(情感对象,情感词,情感倾向性)三元组.实验表明,文中的CRFs和SVM层叠模型可提高情感要素抽取与情感分类判断的准确性.

References

[1]  Shi H X, Li X J. Research on Sentiment Orientation Analysis for Subjective Sentences. Journal of the China Society for Scientific and Technical Information, 2011, 30(5): 522-529 (in Chinese)(施寒潇,厉小军.主观性句子情感倾向性分析方法的研究.情报学报, 2011, 30(5): 522-529)
[2]  Zhen L J, Wang H W, Guo K Q. Sentiment Classification of Chinese Online Reviews: A Comparison between Sentences and Paragraphs. Journal of the China Society for Scientific and Technical Information, 2013, 32(4): 376-384 (in Chinese)(郑丽娟,王洪伟,郭恺强.中文网络评论的情感分类: 句子与段落的比较研究.情报学报, 2013, 32(4): 376-384)
[3]  Li B Y, Guan Y, Dong X S, et al. Single-Label Cascaded Model for Document Sentiment Analysis. Journal of Chinese Information Processing, 2012, 26(4): 3-8, 20 (in Chinese)(李本阳,关 毅,董喜双,等.基于单层标注级联模型的篇章情感倾向分析.中文信息学报, 2012, 26(4): 3-8, 20)
[4]  Lafferty J, McCallum A, Pereira F C N. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data // Proc of the 18th International Conference on Machine Learning. Williamstown, USA, 2001: 282-289
[5]  Xu B, Zhao T J, Wang S Y, et al. Extraction of Opinion Targets Based on Shallow Parsing Features. Acta Automatica Sinica, 2011, 37(10): 1241-1247 (in Chinese)(徐 冰,赵铁军,王山雨,等.基于浅层句法特征的评价对象抽取研究.自动化学报, 2011, 37(10): 1241-1247)
[6]  Wang W P, Meng C C. Opinion Object Extraction Based on the Syntax Analysis and Dependence Analysis. Computer Systems & Applications, 2011, 20(8): 52-57 (in Chinese)(王卫平,孟翠翠.基于句法分析与依存分析的评价对象抽取.计算机系统应用, 2011, 20(8): 52-57)
[7]  Mikolov T, Chen K, Corrado G, et al. Efficient Estimation of Word Representations in Vector Space[EB/OL]. [2014-02-20]. http://arxiv.org/pdf/1301.3781v3.pdf
[8]  Sun X, Huang D G. Chinese Integrative Lexical Analysis Based on Maximum Matching and Second-Maximum Matching Segmentation. Journal of Dalian University of Technology, 2010, 50(6): 1028-1034 (in Chinese)(孙 晓,黄德根.基于最长次长匹配分词一体化中文词法分析.大连理工大学学报, 2010, 50(6): 1028-1034)
[9]  Sun X, Huang D G, Song H Y, et al. Chinese New Words Identification: A Latent Discriminative Model with Global Features. Journal of Computer Science and Technology, 2011, 26 (1): 14-24
[10]  Agrawal R, Imielinski T, Swami A. Mining Association Rules between Sets of Items in Large Databases // Proc of the ACM SIGMOD International Conference on Management of Data. Washington, USA, 1993: 207-216
[11]  Liu B, Hu M Q, Cheng J S. Opinion Observer: Analyzing and Comparing Opinions on the Web // Proc of the 14th International Conference on World Wide Web. Chiba, Japan, 2005: 342-351
[12]  Hu M Q, Liu B. Mining and Summarizing Customer Reviews // Proc of the 10th ACM SIGKDD International Conference on Know-ledge Discovery and Data Mining. Seattle, USA, 2004: 168-177
[13]  Kim S M, Hovy E. Determining the Sentiment of Opinions // Proc of the 20th International Conference on Computational Linguistics. Geneva, Switzerland, 2004: 1367-1373
[14]  Zhu Y L, Min J, Zhou Y Q, et al. Semantic Orientation Computing Based on HowNet. Journal of Chinese Information Processing, 2006, 20(1): 14-20 (in Chinese)(朱嫣岚,闵 锦,周雅倩,等.基于HowNet的词汇语义倾向计算.中文信息学报, 2006, 20(1): 14-20)
[15]  Liu Q, Li S J. Word's Semantic Similarity Computation Method Based on HowNet // Proc of the 3rd Chinese Lexical Semantic Workshop. Taibei, China, 2002: 59-76 (in Chinese)(刘 群,李素建.基于知网的词汇语义相似度的计算 // 第三届汉语词汇语义学研讨会论文集.台北, 2002: 59-76)
[16]  Lou D C, Yao T F. Semantic Polarity Analysis and Opinion Mining on Chinese Review Sentences. Computer Applications, 2006, 26(11): 2622-2625 (in Chinese)(娄德成,姚天日方.汉语句子语义极性分析和观点抽取方法的研究.计算机应用, 2006, 26(11): 2622-2625)
[17]  Li D, Cao F Y, Cao Y D, et al. Text Sentiment Classification Based on Phrase Patterns. Computer Science, 2008, 35(4): 132-134 (in Chinese)(李 钝,曹付元,曹元大,等.基于短语模式的文本情感分类研究.计算机科学, 2008, 35(4): 132-134)
[18]  Shi W, Wang H W, He S Y. Study on Public Sentiment Based on Microblogging Platform. Journal of the China Society for Scientific and Technical Information, 2012, 31(11): 1171-1178 (in Chinese)(史 伟,王洪伟,何绍义.基于微博平台的公众情感分析.情报学报, 2012, 31(11): 1171-1178)
[19]  Kim S M, Hovy E. Automatic Identification of Pro and Con Reasons in Online Reviews // Proc of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics. Sydney, Australia, 2006: 483-490

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133