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Volumn 50, Issue , 2013, Pages 77-84

Sentiment analysis and topic classification based on binary maximum entropy classifiers

Author keywords

Logistic regression; Maximum entropy; Sentiment analysis; Social media; Topic detection

Indexed keywords


EID: 84877269890     PISSN: 11355948     EISSN: 19897553     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (24)

References (21)
  • 4
    • 80055063924 scopus 로고    scopus 로고
    • Twitter mood predicts the stock market
    • abs/1010.3003
    • Bollen, Johan, Huina Mao, and Xiao-Jun Zeng. 2010. Twitter mood predicts the stock market. CoRR, abs/1010.3003.
    • (2010) CoRR
    • Bollen, J.1    Mao, H.2    Zeng, X.-J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.