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Volumn , Issue , 2013, Pages 2640-2646

Listening to the crowd: Automated analysis of events via aggregated twitter sentiment

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED ANALYSIS; BASELINE MODELS; DIFFERENT DOMAINS; LEARNING PROCESS; OPTIMAL SOLUTIONS; PRIOR KNOWLEDGE; SENTIMENT LEXICONS; SOCIAL MEDIA PLATFORMS;

EID: 84896062601     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (41)

References (20)
  • 10
    • 84874258367 scopus 로고    scopus 로고
    • Exploiting social relations for sentiment analysis in microblogging
    • X. Hu, L. Tang, J. Tang, and H. Liu. Exploiting social relations for sentiment analysis in microblogging. Proceedings of WSDM, 2013.
    • (2013) Proceedings of WSDM
    • Hu, X.1    Tang, L.2    Tang, J.3    Liu, H.4
  • 15
    • 85141280473 scopus 로고    scopus 로고
    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
    • Association for Computational Linguistics
    • B. Pang and L. Lee. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, page 271. Association for Computational Linguistics, 2004.
    • (2004) Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics , pp. 271
    • Pang, B.1    Lee, L.2
  • 20
    • 70349529656 scopus 로고    scopus 로고
    • Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis
    • T. Wilson, J. Wiebe, and P. Hoffmann. Recognizing contextual polarity: An exploration of features for phrase-level sentiment analysis. Computational linguistics, 35(3):399-433, 2009.
    • (2009) Computational Linguistics , vol.35 , Issue.3 , pp. 399-433
    • Wilson, T.1    Wiebe, J.2    Hoffmann, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.