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

Authors:
David Kirk Evans;Lun-Wei Ku;Yohei Seki;Hsin-Hsi Chen;Noriko Kando
Affiliations:
National Institute of Informatics, Tokyo, Japan;Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan;Dept. of Information and Computer Sciences, Toyohashi University of Technology, Japan;Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan;National Institute of Informatics, Tokyo, Japan
Venue:
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Year:
2007

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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.