This paper proposes a new paradigm for sentiment 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 machine translation engine.
REF use the technique of deep language analysis for machine translation to extract sentiment units in text documents.
Deeper sentiment analysis using machine translation technology
In Proceedings of the 20th international conference on Computational Linguistics (ACL ’04). Association for Computational Linguistics
Computer Science