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Opinion Analysis Across Languages: An Overview of and Observations from the NTCIR6 Opinion Analysis Pilot Task

  • David Kirk Evans
  • Lun-Wei Ku
  • Yohei Seki
  • Hsin-Hsi Chen
  • Noriko Kando
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4578)

Abstract

In this paper we introduce the NTCIR6 Opinion Analysis Pilot Task, information about the Chinese, Japanese, and English data, plans for future opinion analysis tasks at NTCIR, and a brief overview of the evaluation results. This pilot task is a sentence-level opinion identification and polarity detection task run over data from a comparable corpus in three languages: Chinese, English, and Japanese. We have manually annotated documents for this task in each language, producing what we believe to be the first multilingual opinion analysis data set over comparable data. Six participants submitted Chinese system results, three Japanese, and six English for this pilot task. We plan to release the data to the research community, and hope to spur further research into cross-lingual opinion analysis and its use in other NLP tasks. In particular, we look forward to researchers using this data to investigate cross-cultural perspective differences based on automatic sentiment analysis.

Keywords

Natural Language Processing Machine Translation Computational Linguistics Daily News Relevance Judgment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • David Kirk Evans
    • 1
  • Lun-Wei Ku
    • 3
  • Yohei Seki
    • 2
  • Hsin-Hsi Chen
    • 3
  • Noriko Kando
    • 1
  1. 1.National Institute of Informatics, TokyoJapan
  2. 2.Dept. of Information and Computer Sciences, Toyohashi University of TechnologyJapan
  3. 3.Department of Computer Science and Information Engineering, National Taiwan University, TaipeiTaiwan

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