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Volumn 7629 LNAI, Issue PART 1, 2013, Pages 1-14

Empirical study of machine learning based approach for opinion mining in tweets

Author keywords

Opinion mining; sentiment analysis; sentiment classification; Spanish Emotion Lexicon; Spanish Twitter corpus

Indexed keywords

OPINION MINING; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATION; SPANISH EMOTION LEXICON; SPANISH TWITTER CORPUS;

EID: 84875822753     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37807-2_1     Document Type: Conference Paper
Times cited : (99)

References (16)
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  • 3
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    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
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    • Pang, B.1    Lee, L.2
  • 4
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    • Thumbs up?: Sentiment classification using machine learning techniques
    • Association for Computational Linguistics
    • Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up?: sentiment classification using machine learning techniques. In: Proceedings of the ACL, pp. 79-86. Association for Computational Linguistics (2002)
    • (2002) Proceedings of the ACL , pp. 79-86
    • Pang, B.1    Lee, L.2    Vaithyanathan, S.3
  • 7
    • 78650122641 scopus 로고    scopus 로고
    • Twitter sentiment classification using distant supervision
    • Stanford University, Stanford, CA
    • Go, A., Bhayani, R., Huang, L.: Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford University, Stanford, CA (2009)
    • (2009) CS224N Project Report
    • Go, A.1    Bhayani, R.2    Huang, L.3
  • 16


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.