This paper presents a new approach to phrase-level sentiment analysis that first determines whether an expression is neutral or polar and then disambiguates the polarity of the polar expressions. With this approach, the system is able to automatically identify the contextual polarity for a large subset of sentiment expressions, achieving results that are significantly better than baseline.
Phrase-level sentiment analysis is conducted by Wilson et al. REF , where they determine first whether the expression is neutral or has a polarity.
Recognizing Contextual Polarity In Phrase-Level Sentiment Analysis
Human Language Technology Conference And Empirical Methods In Natural Language Processing
Computer Science