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Volumn 6881 LNAI, Issue PART 1, 2011, Pages 161-170

Sentiment analysis of customer reviews: Balanced versus unbalanced datasets

Author keywords

language model; na ve Bayes; opinion mining; Sentiment analysis

Indexed keywords

BAYES CLASSIFIER; CUSTOMER REVIEW; DATA SETS; DIFFERENT SIZES; DYNAMIC LANGUAGES; LANGUAGE MODEL; OPINION MINING; SENTIMENT ANALYSIS; BALANCED DATASETS; UNBALANCED DATASETS;

EID: 80053166947     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23851-2_17     Document Type: Conference Paper
Times cited : (22)

References (17)
  • 1
    • 80053156813 scopus 로고    scopus 로고
    • March 1
    • Alias-I 2008, LingPipe 3.9.2, http://www.alias-i.com/lingpipe (March 1, 2010)
    • (2010) LingPipe 3.9.2
  • 3
    • 50249160721 scopus 로고    scopus 로고
    • Scaling High-Order Character Language Models to Gigabytes
    • Association for Computational Linguistics, Morristown
    • Carpenter, B.: Scaling High-Order Character Language Models to Gigabytes. In: Workshop on Software, pp. 86-99. Association for Computational Linguistics, Morristown (2005)
    • (2005) Workshop on Software , pp. 86-99
    • Carpenter, B.1
  • 4
    • 9444244198 scopus 로고    scopus 로고
    • Mining the peanut gallery: Opinion extraction and semantic classification of product reviews
    • ACM, New York
    • Dave, K., Lawrence, S., Pennock, D.: Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In: 12th International Conference on World Wide Web, pp. 519-528. ACM, New York (2003)
    • (2003) 12th International Conference on World Wide Web , pp. 519-528
    • Dave, K.1    Lawrence, S.2    Pennock, D.3
  • 7
    • 9444223818 scopus 로고    scopus 로고
    • Mining opinion features in customer reviews
    • AAAI Press / The MIT Press
    • Hu, M., Liu, B.: Mining opinion features in customer reviews. In: 19th National Conference on Artificial Intelligence, pp. 755-760. AAAI Press / The MIT Press (2004b)
    • (2004) 19th National Conference on Artificial Intelligence , pp. 755-760
    • Hu, M.1    Liu, B.2
  • 9
    • 0012357341 scopus 로고
    • A dynamic language model for speech recognition
    • Association for Computational Linguistics, Morristown
    • Jelinek, F., Merialdo, B., Roukos, S., Strauss, M.: A dynamic language model for speech recognition. In: Workshop on Speech and Natural Language, pp. 293-295. Association for Computational Linguistics, Morristown (1991)
    • (1991) Workshop on Speech and Natural Language , pp. 293-295
    • Jelinek, F.1    Merialdo, B.2    Roukos, S.3    Strauss, M.4
  • 11
    • 85141280473 scopus 로고    scopus 로고
    • A Sentimental Education: Sentiment Analysis using subjectivity summarization based on minimum cuts
    • Association for Computational Linguistics, Morristown
    • Pang, B., Lee, L.: A Sentimental Education: Sentiment Analysis using subjectivity summarization based on minimum cuts. In: 42nd Annual Meeting on Association for Computational Linguistics, pp. 271-278. Association for Computational Linguistics, Morristown (2004)
    • (2004) 42nd Annual Meeting on Association for Computational Linguistics , pp. 271-278
    • Pang, B.1    Lee, L.2
  • 12
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up? Sentiment Classification using Machine Learning Techniques
    • Association for Computational Linguistics, Morristown
    • Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment Classification using Machine Learning Techniques. In: ACL 2002 Conference on Empirical Methods in Natural Language Processing, vol. 10, pp. 79-86. Association for Computational Linguistics, Morristown (2002)
    • (2002) ACL 2002 Conference on Empirical Methods in Natural Language Processing , vol.10 , pp. 79-86
    • Pang, B.1    Lee, L.2    Vaithyanathan, S.3
  • 14
    • 85037064574 scopus 로고    scopus 로고
    • A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts
    • Association for Computational Linguistics, Morristown
    • Thelen, M., Riloff, E.: A Bootstrapping Method for Learning Semantic Lexicons using Extraction Pattern Contexts. In: ACL 2002 Conference on Empirical Methods in Natural Language Processing, vol. 10, pp. 214-221. Association for Computational Linguistics, Morristown (2002)
    • (2002) ACL 2002 Conference on Empirical Methods in Natural Language Processing , vol.10 , pp. 214-221
    • Thelen, M.1    Riloff, E.2
  • 15
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
    • Association for Computational Linguistics, Morristown
    • Turney, P.D.: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In: Proceedings of the 40th Annual Meeting of the ACL, pp. 417-424. Association for Computational Linguistics, Morristown (2002)
    • (2002) Proceedings of the 40th Annual Meeting of the ACL , pp. 417-424
    • Turney, P.D.1
  • 16
    • 58349091868 scopus 로고    scopus 로고
    • Sentiment classification of online reviews to travel destinations by supervised machine learning approaches
    • Ye, Q., Zhang, Z., Law, R.: Sentiment classification of online reviews to travel destinations by supervised machine learning approaches. Expert Systems with Applications: An International Journal 36(3), 6527-6535 (2009)
    • (2009) Expert Systems with Applications: An International Journal , vol.36 , Issue.3 , pp. 6527-6535
    • Ye, Q.1    Zhang, Z.2    Law, R.3
  • 17
    • 85125365322 scopus 로고    scopus 로고
    • Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences
    • Association for Computational Linguistics, Morristown
    • Yu, H., Hatzivassiloglou, V.: Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 129-136. Association for Computational Linguistics, Morristown (2003)
    • (2003) Proceedings of the Conference on Empirical Methods in Natural Language Processing , pp. 129-136
    • Yu, H.1    Hatzivassiloglou, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.