2007 · 101 citations · 5 references
Language StudiesLinguisticsApplied LinguisticsComputational LinguisticsNatural Language ProcessingCorpus AnalysisOpinion MiningSentiment AnalysisOpinion ExtractionPolarity DetectionRelevance JudgmentsSentence JudgmentTextual Sentiment Analysis
Abstract This paper describes an overview of the OpinionAnalysis Pilot Task from 2006 to 2007 at the Sixth NT-CIR Workshop. We created test collection for 32, 30,and 28 topics (11,907, 15,279, and 8,379 sentences)in Chinese, Japanese and English. Using this test col-lection, we conducted opinion extraction subtask. Thesubtask was defined from four perspectives: (a) opin-ionated sentence judgment, (b) opinion holder extrac-tion, (c) relevance sentence judgment, and (d) polarityjudgment. 21 run results were submitted by 14 partici-pants with five results submitted by the organizers. Weshow the evaluation results of the groups participatingin opinion extraction subtask. Keywords: Opinion Extraction, Opinion Holder, Rel-evance, Polarity, and NTCIR. 1 Introduction This paper describes an overview of the OpinionAnalysis Pilot Task [5] from 2006 to 2007 at the SixthNTCIR Workshop [4] (NTCIR-6 Opinion). This wasthe first effort to produce a multi-lingual test collectionfor evaluating opinion extraction at NTCIR.Opinion and sentiment analysis has been receivinga lot of attention in the natural language processing re-search community recently [2, 9, 7]. With the broadrange of information sources available on the web,and rapid increase in the uptake of social community-oriented websites that foster user-generated contentthere has been further interest by both commercial andgovernmental parties in trying to automatically ana-lyze and monitor the tide of prevalent attitudes on theweb. As a result, interest in automatically detectingsentences in which an opinion is expressed ([12] etc.),the polarity of the expression ([13] etc.), targets, andopinion holders ([1] etc.) has been receiving more at-tention in the research community. Applications in-clude tracking response to and opinions about com-mercial products, governmental policies, tracking blogentries for potential political scandals and so on.In the Sixth NTCIR Workshop, a new pilot task foropinion analysis has been introduced. The pilot taskhas tracks in three languages: Chinese, English, andJapanese. In this paper, we present an overview of thetest collection, task design, and evaluation results us-ing the test collection across the Chinese, Japanese,and English data.We believe that this pilot task presents a unique op-portunity to expand the study of opinionated text anal-ysis across languages due to the comparable nature ofthe corpus. The documents have been carefully se-lected based on the manual relevance judgments as-signed in a cross-lingual Information Retrieval task,ensuring a high quality corpus that is relevant in allthree languages.This paper is organized as follows. In Section 2,we explain the task design for the
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