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Volumn 12, Issue 7, 2015, Pages 2729-2739

An unsupervised microblog emotion dictionary construction method and its application on sentiment analysis

Author keywords

Emotional dictionary; Sina Weibo; Social emotion detection; Word2vec

Indexed keywords

ITERATIVE METHODS; SENTIMENT ANALYSIS;

EID: 84929773526     PISSN: 15487741     EISSN: None     Source Type: Journal    
DOI: 10.12733/jics20105845     Document Type: Article
Times cited : (4)

References (16)
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  • 3
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  • 4
    • 80054073164 scopus 로고    scopus 로고
    • Survey on mining subjective data on the web
    • Mikalai Tsytsarau, Themis Palpanas, Survey on mining subjective data on the web, Data Mining and Knowledge Discovery, Vol. 24, 2012, 478-514, DOI 10.1007/s10618-011-0238-6
    • (2012) Data Mining and Knowledge Discovery , vol.24 , pp. 478-514
    • Tsytsarau, M.1    Palpanas, T.2
  • 7
    • 84902327925 scopus 로고    scopus 로고
    • Building emotional dictionary for sentiment analysis of online news
    • July
    • Y. Rao, J. Lei, W. Liu, L. Qing, M. Chen, Building emotional dictionary for sentiment analysis of online news, World Wide Web, Vol. 17, No. 4, July 2014, 723-742
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    • Rao, Y.1    Lei, J.2    Liu, W.3    Qing, L.4    Chen, M.5
  • 12
    • 74049157681 scopus 로고    scopus 로고
    • Using the revised dictionary of affect in language to quantify the emotional undertones of samples of natural language
    • Psychology Department, Sudbury Ontario, Using the revised dictionary of affect in language to quantify the emotional undertones of samples of natural language, Psychological Reports, Vol. 105, No. 2, 2009, 509-521
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    • Psychology Department1    Ontario, S.2
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    • Computational approaches to subjectivity and sentiment analysis: Present and envisaged methods and applications
    • January
    • Alexandra Balahur, Rada Mihalcea, Andrés Montoyo, Computational approaches to subjectivity and sentiment analysis: Present and envisaged methods and applications, Computer Speech & Language, Vol. 28, No. 1, January 2014, 1-6
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  • 14
    • 84894107278 scopus 로고    scopus 로고
    • Sentiment topic models for social emotion mining
    • May
    • Y. Rao, Q. Li, X. Mao, W. Liu, Sentiment topic models for social emotion mining, Journal Information Sciences, Vol. 266, 10, May 2014, 90-100
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    • M. Ptaszynski, R. Rzepka, K. Araki, Y. Momouchi, Automatically annotating a five-billion-word corpus of Japanese blogs for sentiment and affect analysis, Computer Speech and Language, Vol. 28, No. 1, 2014, 38-55
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.