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Volumn 86, Issue , 2011, Pages 19-28

Further experiments in sentiment analysis of French movie reviews

Author keywords

Linguistic features; Opinion Mining; Polarity classification; Sentiment analysis; Supervised learning

Indexed keywords

BAG OF WORDS; CLASSIFICATION PERFORMANCE; ENGLISH LANGUAGES; LEXICAL RESOURCES; LINGUISTIC FEATURES; OPINION MINING; POLARITY CLASSIFICATION; POS TAGGING; SEMANTIC ORIENTATION; SENTIMENT ANALYSIS; SUPERVISED CLASSIFICATION;

EID: 80052917274     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-18029-3_3     Document Type: Conference Paper
Times cited : (16)

References (21)
  • 1
    • 46249095180 scopus 로고    scopus 로고
    • Sentiment analysis in multiple languages: Feature selection for opinion classification in web forums
    • [ACS08], Article 12, June
    • [ACS08] Abbasi, A., Chen, H., Salem, A.: Sentiment analysis in multiple languages: Feature selection for opinion classification in web forums. ACM Transactions on Information Systems (TOIS), Article 12 26(3) (June 2008)
    • (2008) ACM Transactions on Information Systems (TOIS) , vol.26 , Issue.3
    • Abbasi, A.1    Chen, H.2    Salem, A.3
  • 3
    • 33646872279 scopus 로고    scopus 로고
    • Determining the semantic orientation of terms through gloss classification
    • DOI 10.1145/1099554.1099713, CIKM'05 - Proceedings of the 14th ACM International Conference on Information and Knowledge Management
    • [ES05] Esuli, A., Sebastiani, F.: Determining the semantic orientation of terms through gloss classification. In: Proceedings of CIKM 2005, pp. 617-624 (2005) (Pubitemid 44022237)
    • (2005) International Conference on Information and Knowledge Management, Proceedings , pp. 617-624
    • Esuli, A.1    Sebastiani, F.2
  • 5
    • 84872201395 scopus 로고    scopus 로고
    • Sentiment classification on customer feedback data: Noisy data, large feature vectors, and the role of linguistic analysis
    • [Gam04], August
    • [Gam04] Gamon, M.: Sentiment classification on customer feedback data: Noisy data, large feature vectors, and the role of linguistic analysis. In: Proceedings of the 20th International Conference on Computational Linguistics, pp. 611-617 (August 2004)
    • (2004) Proceedings of the 20th International Conference on Computational Linguistics , pp. 611-617
    • Gamon, M.1
  • 11
    • 26944452025 scopus 로고    scopus 로고
    • Sentiment classification using word sub-sequences and dependency sub-trees
    • [MTO05], Ho, T.-B., Cheung, D., Liu, H. (eds.). Springer, Heidelberg
    • [MTO05] Matsumoto, S., Takamura, H., Okumura, M.: Sentiment classification using word sub-sequences 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) PAKDD 2005. LNCS (LNAI) , vol.3518 , pp. 301-311
    • Matsumoto, S.1    Takamura, H.2    Okumura, M.3
  • 16
    • 2442507763 scopus 로고    scopus 로고
    • Measuring praise and criticism: Inference of semantic orientation from association
    • [TL03]
    • [TL03] Turney, P.D., Littman, M.L.: Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS), 15-346 (2003)
    • (2003) ACM Transactions on Information Systems (TOIS) , pp. 15-346
    • Turney, P.D.1    Littman, M.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.