Better Document-level Sentiment Analysis from RST Discourse Parsing
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein · 2015
Discourse structure is the hidden link between surface features and document-level properties, such as sentiment polarity.We show that the discourse analyses produced by Rhetorical Structure Theory (RST) parsers can improve document-level sentiment analysis, via composition of local information up the discourse tree.First, we show that reweighting discourse units according to their position in a dependency representation of the rhetorical structure can yield substantial improvements on lexicon-based sentiment analysis.Next, we present a recursive neural network over the RST structure, which offers significant improvements over classificationbased methods.