Paper: Phrase Dependency Parsing for Opinion Mining

ACL ID D09-1159
Title Phrase Dependency Parsing for Opinion Mining
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2009
Authors

In this paper, we present a novel approach for mining opinions from product reviews, where it converts opinion mining task to identify product features, expressions of opinions and relations between them. By taking advantage of the observation that a lot of product features are phrases, a con- cept of phrase dependency parsing is in- troduced, which extends traditional depen- dency parsing to phrase level. This con- cept is then implemented for extracting re- lations between product features and ex- pressions of opinions. Experimental eval- uations show that the mining task can ben- efit from phrase dependency parsing.