Deeper sentiment analysis using machine translation technology

  • Authors:
  • Kanayama Hiroshi;Nasukawa Tetsuya;Watanabe Hideo

  • Affiliations:
  • Tokyo Research Laboratory, IBM Japan, Ltd., Shimotsuruma, Yamato-shi, Kanagawa-ken, Japan;Tokyo Research Laboratory, IBM Japan, Ltd., Shimotsuruma, Yamato-shi, Kanagawa-ken, Japan;Tokyo Research Laboratory, IBM Japan, Ltd., Shimotsuruma, Yamato-shi, Kanagawa-ken, Japan

  • Venue:
  • COLING '04 Proceedings of the 20th international conference on Computational Linguistics
  • Year:
  • 2004

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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.