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Volumn , Issue , 2013, Pages 366-373

Aspect-based Twitter sentiment classification

Author keywords

Aspect based Sentiment Analysis; Opinion Mining; Sentiment Analysis; Twitter Sentiment Analysis

Indexed keywords

CLASSIFICATION TASKS; HOT RESEARCH TOPICS; OPINION MINING; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATION; STATE-OF-THE-ART APPROACH;

EID: 84897734698     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2013.62     Document Type: Conference Paper
Times cited : (35)

References (26)
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    • Bollen, J.1    Mao, H.2    Zeng, X.-J.3
  • 6
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    • Cl ustering by Passing Messages between Data Points
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  • 11
    • 33646859933 scopus 로고    scopus 로고
    • Sentiment classification of movie reviews using contextual valence shifters
    • Special Issue on Sentiment Analysis
    • A. Kennedy and D. Inkpen, " Sentiment Classification of Movie Reviews Using Contextual Valence Shifters," Computational Intelligence, Vol. 22, No. 2, Special Issue on Sentiment Analysis, pp. 110-125, 2006.
    • (2006) Computational Intelligence , vol.22 , Issue.2 , pp. 110-125
    • Kennedy, A.1    Inkpen, D.2
  • 14
    • 84897700751 scopus 로고    scopus 로고
    • Predicting financial markets: Comparing survey,news, twitter and search engine data
    • vol. abs/1112.1051
    • H. Mao, S. Counts, and J. Bollen, " Predicting Financial Markets: Comparing Survey,News, Twitter and Search Engine Data," CoRR, vol. abs/1112.1051, 2011.
    • (2011) CoRR
    • Mao, H.1    Counts, S.2    Bollen, J.3
  • 19
    • 84859916751 scopus 로고    scopus 로고
    • Using emoticons to reduce dependency in machine learning techniques for sentiment classification
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    • Read, J.1
  • 23
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    • Measuring praise and criticism: Inference of semantic orientation from association
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    • (2003) ACM Transactions on Information Systems , vol.21 , Issue.4 , pp. 315-346
    • Turney, P.D.1    Littman, M.L.2
  • 24
    • 85104377290 scopus 로고    scopus 로고
    • A system for real-time Twitter sentiment analysis of 2012 U.S. Presidential election cycle
    • Jeju Island, Korea
    • H. Wang, D. Can, A. Kazemzadeh, F. Bar, and S. Narayanan, " A system for real-time Twitter sentiment analysis of 2012 U.S. presidential election cycle," in Proceedings of the ACL System Demonstrations, Jeju Island, Korea, 2012, pp. 115-120.
    • (2012) Proceedings of the ACL System Demonstrations , pp. 115-120
    • Wang, H.1    Can, D.2    Kazemzadeh, A.3    Bar, F.4    Narayanan, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.