Deeper sentiment analysis using machine translation technology
Published 1 January 2004Open access
Hiroshi Kanayama, Tetsuya Nasukawa, Hideo Watanabe
Citations148
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TL;DR
A high-precision sentiment analysis system is developed at a low development cost, by making use of an existing transfer-based machine translation engine.
Abstract
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.
Keywords
Computer Science
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