Paper: Deeper Sentiment Analysis Using Machine Translation Technology

ACL ID C04-1071
Title Deeper Sentiment Analysis Using Machine Translation Technology
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2004
Authors

This paper proposes a new paradigm for senti- ment analysis: translation from text documents to a set of sentiment units. The techniques of deep language analysis for machine translation are applicable also to this kind of text mining task. We developed a high-precision sentiment analysis system at a low development cost, by making use of an existing transfer-based ma- chine translation engine.