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Volumn 8610 LNCS, Issue , 2014, Pages 274-285

Twitter sentiment polarity analysis: A novel approach for improving the automated labeling in a text corpora

Author keywords

opinion mining; polarity detection; Twitter sentiment analysis

Indexed keywords

AUTOMATION; DATA MINING;

EID: 84905369113     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-09912-5_23     Document Type: Conference Paper
Times cited : (11)

References (10)
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  • 3
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    • Twitter sentiment analysis
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  • 4
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    • The importance of neutral examples for learning sentiment
    • Koppel, M., Schler, J.: The importance of neutral examples for learning sentiment. Computational Intelligence 22(2), 100-109 (2006)
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    • Koppel, M.1    Schler, J.2
  • 6
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining
    • Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion mining. In: LREC (2010)
    • (2010) LREC
    • Pak, A.1    Paroubek, P.2
  • 7
    • 84859916751 scopus 로고    scopus 로고
    • Using emoticons to reduce dependency in machine learning techniques for sentiment classification
    • Association for Computational Linguistics
    • Read, J.: Using emoticons to reduce dependency in machine learning techniques for sentiment classification. In: Proceedings of the ACL Student Research Workshop, pp. 43-48. Association for Computational Linguistics (2005)
    • (2005) Proceedings of the ACL Student Research Workshop , pp. 43-48
    • Read, J.1
  • 9
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    • Online; accessed January 2014
    • Twitter. Who is in twitter (2014), https://business.twitter.com/whos- twitter/ (Online; accessed January 2014)
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  • 10
    • 77951074792 scopus 로고    scopus 로고
    • Expanding the possibilities of deliberation: The use of data mining for strengthening democracy with an application to education reform
    • Velásquez, J.D., González, P.: Expanding the possibilities of deliberation: The use of data mining for strengthening democracy with an application to education reform. The Information Society 26(1), 1-16 (2010)
    • (2010) The Information Society , vol.26 , Issue.1 , pp. 1-16
    • Velásquez, J.D.1    González, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.