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Volumn 597, Issue , 2015, Pages 123-129

Sentiment classification analysis of Chinese microblog network

Author keywords

Machine learning; Sentiment classification; Sina Weibo; Social network

Indexed keywords


EID: 84924965514     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-16112-9_12     Document Type: Article
Times cited : (3)

References (16)
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    • In: Masthoff, J., Mobasher, B., Desmarais, M.C., Nkambou, R. (eds.), Springer, Heidelberg
    • Gao, Q., Abel, F., Houben, G.-J., Yu, Y.: A comparative study of users’ microblogging behavior on Sina Weibo and Twitter. In: Masthoff, J., Mobasher, B., Desmarais, M.C., Nkambou, R. (eds.) UMAP 2012. LNCS, vol. 7379, pp. 88–101. Springer, Heidelberg (2012).
    • (2012) UMAP 2012. LNCS , vol.7379 , pp. 88-101
    • Gao, Q.1    Abel, F.2    Houben, G.-J.3    Yu, Y.4
  • 3
    • 84925008462 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 (2012).
    • (2012) LREC
    • Pak, A.1    Paroubek, P.2
  • 4
    • 84890668120 scopus 로고    scopus 로고
    • Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment
    • Tumasjan, A., Sprenger, T.O., Sandner, P.G., et al.: Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment. In: ICWSM 2010, pp. 178–185 (2010).
    • (2010) ICWSM 2010 , pp. 178-185
    • Tumasjan, A.1    Sprenger, T.O.2    Sandner, P.G.3
  • 6
    • 84890614558 scopus 로고    scopus 로고
    • From tweets to polls: Linking text sentiment to public opinion time series
    • O’Connor, B., Balasubramanyan, R., Routledge, B.R., et al.: From tweets to polls: Linking text sentiment to public opinion time series. ICWSM 11, 122–129 (2010).
    • (2010) ICWSM , vol.11 , pp. 122-129
    • O’Connor, B.1    Balasubramanyan, R.2    Routledge, B.R.3
  • 7
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    • Measuring praise and criticism: Inference of semantic orientation from association
    • Turney, P.D., Littman, M.L.: Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS) 21(4), 315–346 (2003).
    • (2003) ACM Transactions on Information Systems (TOIS) , vol.21 , Issue.4 , pp. 315-346
    • Turney, P.D.1    Littman, M.L.2
  • 13
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    • A lexicon model for deep sentiment analysis and opinion mining applications
    • Maks, I., Vossen, P.: A lexicon model for deep sentiment analysis and opinion mining applications. Decision Support Systems 53(4), 680–688 (2012).
    • (2012) Decision Support Systems , vol.53 , Issue.4 , pp. 680-688
    • Maks, I.1    Vossen, P.2
  • 16
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    • (accessed September 12, 2014
    • Zhang, H.: NIPIR/ICTCLAS (2014), http://ictclas.nlpir.org/ (accessed September 12, 2014).
    • (2014) NIPIR/ICTCLAS
    • Zhang, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.