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Volumn , Issue , 2015, Pages 568-573

Lsislif: Feature Extraction and Label Weighting for Sentiment Analysis in Twitter

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; SEMANTICS; SENTIMENT ANALYSIS;

EID: 85122041491     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (37)

References (18)
  • 1
    • 85034054192 scopus 로고    scopus 로고
    • SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining
    • Baccianella, S., Esuli, A., and Sebastiani, F. (2010). SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In in Proc. of LREC.
    • (2010) Proc. of LREC.
    • Baccianella, S.1    Esuli, A.2    Sebastiani, F.3
  • 10
    • 85122015259 scopus 로고    scopus 로고
    • TeamX: A sentiment analyzer with enhanced lexicon mapping and weighting scheme for unbalanced data
    • (-08) pages Association for Computational Linguistics and Dublin City University
    • Miura, Y., Sakaki, S., Hattori, K., and Ohkuma, T. (2014-08). TeamX: A sentiment analyzer with enhanced lexicon mapping and weighting scheme for unbalanced data. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 628-632. Association for Computational Linguistics and Dublin City University.
    • (2014) Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) , pp. 628-632
    • Miura, Y.1    Sakaki, S.2    Hattori, K.3    Ohkuma, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.