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Volumn 6122 LNCS, Issue , 2010, Pages 140-153

Identifying controversial issues and their sub-topics in news articles

Author keywords

Controversial issue detection; Sentiment analysis; Subtopic identification

Indexed keywords

DETECTION METHODS; EXPERIMENT AND ANALYSIS; NEWS ARTICLES; RESEARCH ISSUES; SENTIMENT ANALYSIS;

EID: 77954630199     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13601-6_16     Document Type: Conference Paper
Times cited : (53)

References (12)
  • 10
    • 78650476005 scopus 로고    scopus 로고
    • Extracting Opinions, Opinion Holder, and Topics Expressed Online News Media Text
    • Association for Computational Linguistics, Sydney
    • Kim, S.-M., Hovy, E.: Extracting Opinions, Opinion Holder, and Topics Expressed Online News Media Text. In: The Workshop on Sentiment and Subjectivity in Text, pp. 1-8. Association for Computational Linguistics, Sydney (2006)
    • (2006) The Workshop on Sentiment and Subjectivity in Text , pp. 1-8
    • Kim, S.-M.1    Hovy, E.2
  • 12
    • 77954655817 scopus 로고    scopus 로고
    • MPQA corpus, http://www.cs.pitt.edu/mpqa
    • MPQA Corpus


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.