会议专题

Disambiguating Sentiment Ambiguous Adjectives

This paper makes a systematic study on disambiguating sentiment ambiguous adjectives within context in real text, which is an interaction between word sense disambiguation and sentiment analysis. We firstly address the issue of inter-annotator agreement on assigning semantic orientations to word occurrences in real text. Secondly we demonstrate that co-occurring sentiment monosemous adjectives can not effectively disambiguate sentiment ambiguous adjectives. Then collocation-based disambiguation and support vector machine (SVM) algorithm are exploited on the task of disambiguation. We present a new approach of combining collocation information and SVM to disambiguate sentiment ambiguous words. The experimental results show that the combining approach of Coll+SVM outperforms both collocation-based method and SVM algorithm.

Sentiment analysis sentiment ambiguous words word sense disambiguation inter-annotator agreement support vector machine collocation

Yunfang WU Miao WANG Peng JIN

Institute of Computational Linguistics,Peking University.Beijing,China

国际会议

The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

北京

英文

2008-10-19(万方平台首次上网日期,不代表论文的发表时间)