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Volumn 5478 LNCS, Issue , 2009, Pages 362-374

Adapting naive bayes to domain adaptation for sentiment analysis

Author keywords

Information Retrieval; Opinion Mining; Sentiment Classification

Indexed keywords

CLASSIFIERS; DATA MINING; INFORMATION RETRIEVAL; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; SENTIMENT ANALYSIS; SUPERVISED LEARNING; TRANSFER LEARNING;

EID: 67650707349     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00958-7_31     Document Type: Conference Paper
Times cited : (31)

References (13)
  • 1
    • 33646880507 scopus 로고    scopus 로고
    • Using appraisal groups for sentiment analysis
    • Whitelaw, C., Garg, N., Argamon, S.: Using appraisal groups for sentiment analysis. In: CIKM (2005)
    • (2005) CIKM 2005
    • Whitelaw, C.1    Garg, N.2    Argamon, S.3
  • 2
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up? Sentiment classification using machine learning techniques
    • Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment classification using machine learning techniques. In: EMNLP 2002 (2002)
    • (2002) EMNLP 2002
    • Pang, B.1    Lee, L.2    Vaithyanathan, S.3
  • 3
    • 71049115088 scopus 로고    scopus 로고
    • Customizing sentiment classifiers to new domains: A case study
    • Aue, A., Gamon, M.: Customizing Sentiment Classifiers to New Domains: a Case Study. In: RANLP 2005 (2005)
    • (2005) RANLP 2005
    • Aue, A.1    Gamon, M.2
  • 4
    • 63449125029 scopus 로고    scopus 로고
    • A novel scheme for domain-transfer problem in the context of sentiment analysis
    • Tan, S., Wu, G., Tang, H., Cheng, X.: A novel scheme for domain-transfer problem in the context of sentiment analysis. In: CIKM 2007 (2007)
    • (2007) CIKM 2007
    • Tan, S.1    Wu, G.2    Tang, H.3    Cheng, X.4
  • 5
    • 0006009575 scopus 로고    scopus 로고
    • Learning to classify text from labeled and unlabeled documents
    • Nigam, K., McCallum, A., Thrun, S., Mitchell, T.: Learning to classify text from labeled and unlabeled documents. In: AAAI 1998 (1998)
    • (1998) AAAI 1998
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4
  • 6
    • 1942483137 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • Joachims, T.: Transductive inference for text classification using support vector machines. In: ICML (1999)
    • (1999) ICML
    • Joachims, T.1
  • 7
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34(1), 1-47 (2002)
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 10
    • 57949113459 scopus 로고    scopus 로고
    • A Two-Stage approach to domain adaptation for statistical classifiers
    • Jiang, J., Zhai, C.: A Two-Stage Approach to Domain Adaptation for Statistical Classifiers. In: CIKM 2007 (2007)
    • (2007) CIKM 2007
    • Jiang, J.1    Zhai, C.2
  • 11
    • 58349099991 scopus 로고    scopus 로고
    • Transferring Naive Bayes Classifiers for Text Classification
    • Dai, W., Xue, G., Yang, Q., Yu, Y.: Transferring Naive Bayes Classifiers for Text Classification. In: AAAI 2007 (2007)
    • (2007) AAAI 2007
    • Dai, W.1    Xue, G.2    Yang, Q.3    Yu, Y.4
  • 13
    • 33646867863 scopus 로고    scopus 로고
    • Recognizing strong and weak opinion clauses
    • DOI 10.1111/j.1467-8640.2006.00275.x
    • Wilson, T., Wiebe, J., Hwa, R.: Recognizing Strong and Weak Opinion Clauses. Computational Intelligence 22(2), 73-99 (2006) (Pubitemid 43787301)
    • (2006) Computational Intelligence , vol.22 , Issue.2 , pp. 73-99
    • Wilson, T.1    Wiebe, J.2    Hwa, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.