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Volumn 1096, Issue , 2013, Pages 9-21

Evaluation datasets for Twitter sentiment analysis a survey and a new dataset, the STS-Gold

Author keywords

Datasets; Sentiment analysis; Twitter

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING; GOLD; SMARTPHONES; SOCIAL NETWORKING (ONLINE);

EID: 84908157393     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (73)

References (25)
  • 5
    • 84921032764 scopus 로고    scopus 로고
    • Mutually enhancing community detection and sentiment analysis on twitter networks
    • Deitrick, W., Hu, W.: Mutually enhancing community detection and sentiment analysis on twitter networks. Journal of Data Analysis and Information Processing 1, 19-29 (2013)
    • (2013) Journal of Data Analysis and Information Processing , vol.1 , pp. 19-29
    • Deitrick, W.1    Hu, W.2
  • 9
    • 84893144737 scopus 로고    scopus 로고
    • Unsupervised sentiment analysis with emotional signals
    • International World Wide Web Conferences Steering Committee
    • Hu, X., Tang, J., Gao, H., Liu, H.: Unsupervised sentiment analysis with emotional signals. In: Proceedings of the 22nd international conference on World Wide Web. pp. 607-618. International World Wide Web Conferences Steering Committee (2013)
    • (2013) Proceedings of the 22nd International Conference on World Wide Web , pp. 607-618
    • Hu, X.1    Tang, J.2    Gao, H.3    Liu, H.4
  • 12
    • 85167446249 scopus 로고    scopus 로고
    • Emoticon smoothed language models for twitter sentiment analysis
    • Liu, K. L., Li, W. J., Guo, M.: Emoticon smoothed language models for twitter sentiment analysis. In: AAAI (2012)
    • (2012) AAAI
    • Liu, K.L.1    Li, W.J.2    Guo, M.3
  • 13
    • 41949142451 scopus 로고    scopus 로고
    • Automatic extraction of domain-specific stopwords from labeled documents
    • Springer
    • Makrehchi, M., Kamel, M. S.: Automatic extraction of domain-specific stopwords from labeled documents. In: Advances in information retrieval, pp. 222-233. Springer (2008)
    • (2008) Advances in Information Retrieval , pp. 222-233
    • Makrehchi, M.1    Kamel, M.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.