Articles: Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis

By Theresa Wilson, Janyce Wiebe, Paul Hoffmann. International Conference on Computational Logic, 2009

358 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Good debt or bad debt: Detecting semantic orientations in economic texts (2013, methodology): “As discussed by Wilson et al. (2009), phrase-level sentiment analysis is a complicated task which cannot be solved by detecting prior-polarities only.”
News impact on stock price return via sentiment analysis (2014, methodology): “[25] argue that word sentiment should be determined in the context and they propose a method that distinguishes words’ prior sentiment and contextual polarity based on annotated Multi-perspective Question Answering opinion corpus.”
Sentiment in short strength detection informal text (2010, neutral): “Previous work has shown that this approach is promising, particularly via dependency trees (Wilson et al., 2009) and that, given a large enough training sample, improvements may be possible even in poor quality text (Gamon, 2004).”