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Volumn , Issue , 2013, Pages 65-74

Sentiment Analysis in Czech Social Media Using Supervised Machine Learning

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; SOCIAL NETWORKING (ONLINE); SUPERVISED LEARNING;

EID: 85117087790     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (87)

References (31)
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    • Dolamic, Ljiljana1    Savoy, Jacques2
  • 14
    • 84866007229 scopus 로고    scopus 로고
    • A survey of opinion mining and sentiment analysis
    • Springer
    • Bing Liu and Lei Zhang. 2012. A survey of opinion mining and sentiment analysis. In Mining Text Data, pages 415-463. Springer.
    • (2012) Mining Text Data , pp. 415-463
    • Liu, Bing1    Zhang, Lei2
  • 19
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining
    • Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, European Language Resources Association
    • Alexander Pak and Patrick Paroubek. 2010. Twitter as a corpus for sentiment analysis and opinion mining. In Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Proceedings of the International Conference on Language Resources and Evaluation, LREC 2010. European Language Resources Association.
    • (2010) Proceedings of the International Conference on Language Resources and Evaluation, LREC 2010
    • Pak, Alexander1    Paroubek, Patrick2
  • 28
    • 84885877541 scopus 로고    scopus 로고
    • Creating annotated resources for polarity classification in Czech
    • ÖGAI, September. PATHOS 2012 workshop
    • Kateřina Veselovská, Jan Hajič Jr., and Jana Šindlerová. 2012. Creating annotated resources for polarity classification in Czech. In Proceedings of KONVENS 2012, pages 296-304. ÖGAI, September. PATHOS 2012 workshop.
    • (2012) Proceedings of KONVENS 2012 , pp. 296-304
    • Veselovská, Kateřina1    Hajič, Jan2    Šindlerová, Jana3
  • 29
    • 84873706018 scopus 로고    scopus 로고
    • Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news
    • Liang-Chih Yu, Jheng-Long Wu, Pei-Chann Chang, and Hsuan-Shou Chu. 2013. Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news. Knowledge Based Syst, 41:89-97.
    • (2013) Knowledge Based Syst , vol.41 , pp. 89-97
    • Yu, Liang-Chih1    Wu, Jheng-Long2    Chang, Pei-Chann3    Chu, Hsuan-Shou4
  • 31
    • 84862814947 scopus 로고    scopus 로고
    • Sentiment detection with auxiliary data
    • Dan Zhang, Luo Si, and Vernon J. Rego. 2012. Sentiment detection with auxiliary data. Information Retrieval, 15(3-4):373-390.
    • (2012) Information Retrieval , vol.15 , Issue.3-4 , pp. 373-390
    • Zhang, Dan1    Si, Luo2    Rego, Vernon J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.