Building domain-oriented sentiment lexicon by improved information bottleneck

This paper describes an adapted information bottleneck approach for construction of domain-oriented sentiment lexicon. The basic idea is to use three kinds of relationships (WWinter, WDinter and WDintra) to infer the semantic orientation of the out-of-domain words. The experimental results demonstrate that proposed method could dramatically improve the accuracy of the baseline approach on the construction of out-of-domain sentiment lexicon. Categories and Subject Descriptors I.2.7 [Artificial Intelligence]: Natural Language Processing General Terms Algorithms, Performance, Experimentation Keywords Sentiment Analysis; Opinion Mining; Information Retrieval

• Type: Conference
• Year: 2009
• Where: CIKM
• Authors: Weifu Du, Songbo Tan
• Keywords: CIKM 2009, Domain-oriented Sentiment Lexicon, Information Management, Out-of-domain Sentiment Lexicon, Sentiment Lexicon