Learning Opinionated Patterns for Contextual Opinion Detection

摘要

This paper tackles the problem of polar vocabulary ambiguity. While some opinionated words keep their polarity in any context and/or across any domain (except for the ironic style that goes beyond the present article), some other have an ambiguous polarity which is highly dependent of the context or the domain: in this case, the opinion is generally carried by complex expressions ("patterns") rather than single words. In this paper, we propose and evaluate an original hybrid method, based on syntactic information extraction and clustering techniques, to learn automatically such patterns and integrate them into an opinion detection system.