메뉴 건너뛰기




Volumn 8206 LNCS, Issue , 2013, Pages 194-201

Fast and accurate sentiment classification using an enhanced Naive Bayes model

Author keywords

Feature Selection; Mutual Information; n grams; Negation Handling; Sentiment classification

Indexed keywords

MUTUAL INFORMATIONS; N-GRAMS; NAIVE BAYES CLASSIFIERS; NAIVE BAYES MODELS; NEGATION HANDLING; SENTIMENT CLASSIFICATION; TEXT CATEGORIZATION; TRAINING AND TESTING;

EID: 84890866356     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-41278-3_24     Document Type: Conference Paper
Times cited : (204)

References (16)
  • 4
    • 84890877423 scopus 로고    scopus 로고
    • Yahoo! for Amazon: Sentiment parsing from small talk on the web
    • Das, S., Chen, M.: Yahoo! for Amazon: Sentiment parsing from small talk on the web. In: EFA 2001 Barcelona Meetings (2001)
    • EFA 2001 Barcelona Meetings (2001)
    • Das, S.1    Chen, M.2
  • 8
    • 33646859933 scopus 로고    scopus 로고
    • Sentiment classification of movie reviews using contextual valence shifters
    • Kennedy, A., Inkpen, D.: Sentiment classification of movie reviews using contextual valence shifters. Computational Intelligence 22(2), 110-125 (2006)
    • (2006) Computational Intelligence , vol.22 , Issue.2 , pp. 110-125
    • Kennedy, A.1    Inkpen, D.2
  • 10
    • 26944452025 scopus 로고    scopus 로고
    • Sentiment classification using word subsequences and dependency sub-trees
    • Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. Springer, Heidelberg
    • Matsumoto, S., Takamura, H., Okumura, M.: Sentiment classification using word subsequences and dependency sub-trees. In: Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. LNCS (LNAI), vol. 3518, pp. 301-311. Springer, Heidelberg (2005)
    • (2005) LNCS (LNAI) , vol.3518 , pp. 301-311
    • Matsumoto, S.1    Takamura, H.2    Okumura, M.3
  • 11
    • 84890887208 scopus 로고    scopus 로고
    • Springer, Heidelberg
    • Springer, Heidelberg
  • 15
  • 16
    • 35248883872 scopus 로고    scopus 로고
    • Combining naive Bayes and n-gram language models for text classification
    • Sebastiani, F. (ed.) ECIR 2003. Springer, Heidelberg
    • Peng, F., Schuurmans, D.: Combining naive Bayes and n-gram language models for text classification. In: Sebastiani, F. (ed.) ECIR 2003. LNCS, vol. 2633, pp. 335-350. Springer, Heidelberg (2003)
    • (2003) LNCS , vol.2633 , pp. 335-350
    • Peng, F.1    Schuurmans, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.