메뉴 건너뛰기




Volumn 6119 LNAI, Issue PART 2, 2010, Pages 261-271

Feature subsumption for sentiment classification in multiple languages

Author keywords

Multilingual; Sentiment; Substring group; Transductive

Indexed keywords

DATA SETS; LEARNING-BASED ALGORITHMS; MULTILINGUAL; MULTIPLE LANGUAGES; OPEN PROBLEMS; SENTIMENT; SENTIMENT CLASSIFICATION; SUBSTRING-GROUP; TERM WEIGHTING; TRANSDUCTIVE; WORD N-GRAMS;

EID: 79956305515     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13672-6_26     Document Type: Conference Paper
Times cited : (7)

References (32)
  • 3
    • 26944476060 scopus 로고    scopus 로고
    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
    • Bo, P., Lillian, L.: A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. In: Proceedings of ACL (2004)
    • (2004) Proceedings of ACL
    • Bo, P.1    Lillian, L.2
  • 4
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up? Sentiment classification using machine learning techniques
    • Bo, P., Lillian, L., Shivakumar, V.: Thumbs up? Sentiment Classification using Machine Learning Techniques. In: Proceedings of EMNLP (2002)
    • (2002) Proceedings of EMNLP
    • Bo, P.1    Lillian, L.2    Shivakumar, V.3
  • 6
    • 38649085269 scopus 로고    scopus 로고
    • An empirical study of sentiment analysis for chinese documents
    • DOI 10.1016/j.eswa.2007.05.028, PII S0957417407001534
    • Tan, S., Zhang, J.: An empirical study of sentiment analysis for chinese documents. Expert Systems with Applications 34(4), 2622-2629 (2008) (Pubitemid 351173767)
    • (2008) Expert Systems with Applications , vol.34 , Issue.4 , pp. 2622-2629
    • Tan, S.1    Zhang, J.2
  • 7
  • 8
    • 47749148765 scopus 로고    scopus 로고
    • Experimental study on sentiment classification of chinese review using machine learning techniques
    • Jun, L., Maosong, S.: Experimental Study on Sentiment Classification of Chinese Review using Machine Learning Techniques. In: Proceedings of IEEE NLPKE (2007)
    • (2007) Proceedings of IEEE NLPKE
    • Jun, L.1    Maosong, S.2
  • 9
    • 79956314168 scopus 로고    scopus 로고
    • Extracting key-substring-group features for text classification
    • Philadelphia PA
    • Dell, Z., Sun, L.W.: Extracting Key-Substring-Group Features for Text Classification. In: Proceedings of KDD, Philadelphia, PA (2006)
    • (2006) Proceedings of KDD
    • Dell, Z.1    Sun, L.W.2
  • 10
    • 49549110461 scopus 로고    scopus 로고
    • A comparative study of methods for transductive transfer learning
    • Arnold, A., Nallapati, R., Cohen, W.: A comparative study of methods for transductive transfer learning. In: Proceedings of ICDM 2007 (2007)
    • (2007) Proceedings of ICDM 2007
    • Arnold, A.1    Nallapati, R.2    Cohen, W.3
  • 12
    • 31844440904 scopus 로고    scopus 로고
    • Beyond the point cloud: From transductive to semi-supervised learning
    • Sindhwani, V., Niyogi, P., Belkin, M.: Beyond the point cloud: from transductive to semi-supervised learning. In: Proceedings of ICML (2005)
    • (2005) Proceedings of ICML
    • Sindhwani, V.1    Niyogi, P.2    Belkin, M.3
  • 13
    • 0001938951 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: Proceedings of ICML 1999 (1999)
    • (1999) Proceedings of ICML 1999
    • Joachims, T.1
  • 16
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews
    • Peter, T.: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In: Proceedings of ACL (2002)
    • (2002) Proceedings of ACL
    • Peter, T.1
  • 18
    • 79956331467 scopus 로고    scopus 로고
    • Mining opinion features in customer reviews
    • Minqing, H., Bing, L.: Mining Opinion Features in Customer Reviews. In: Proceedings of AAAI (2004)
    • (2004) Proceedings of AAAI
    • Minqing, H.1    Bing, L.2
  • 21
    • 79956294979 scopus 로고    scopus 로고
    • Sentiment analysis in financial news: A cohesion-based approach
    • Ann, D., Khurshid, A.: Sentiment Analysis in Financial News: A Cohesion-based Approach. In: Proceedings of ACL (2007)
    • (2007) Proceedings of ACL
    • Ann, D.1    Khurshid, A.2
  • 22
    • 80053343577 scopus 로고    scopus 로고
    • Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis
    • Wan, X.: Using Bilingual Knowledge and Ensemble Techniques for Unsupervised Chinese Sentiment Analysis. In: Proceeding of EMNLP (2008)
    • (2008) Proceeding of EMNLP
    • Wan, X.1
  • 23
    • 9444244198 scopus 로고    scopus 로고
    • Mining the peanut gallery: Opinion extraction and semantic classification of product reviews
    • Kushal, D., Steve, L., David, P.: Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In: Proceedings of WWW (2003)
    • (2003) Proceedings of WWW
    • Kushal, D.1    Steve, L.2    David, P.3
  • 24
    • 85112593657 scopus 로고    scopus 로고
    • Sentiment analysis using support vector machines with diverse information sources
    • Tony, M., Nigel, C.: Sentiment analysis using support vector machines with diverse information sources. In: Proceedings of EMNLP (2004)
    • (2004) Proceedings of EMNLP
    • Tony, M.1    Nigel, C.2
  • 25
    • 84860524227 scopus 로고    scopus 로고
    • Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
    • John, B., Mark, D., Fernando, P.: Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification. In: Proceedings of ACL (2007)
    • (2007) Proceedings of ACL
    • John, B.1    Mark, D.2    Fernando, P.3
  • 26
    • 84927744519 scopus 로고    scopus 로고
    • Combining learn-based and lexicon-based techniques for sentiment detection without using labeled examples
    • Tan, S., Wang, Y., Cheng, X.: Combining learn-based and lexicon-based techniques for sentiment detection without using labeled examples. In: Proceedings of SIGIR (2008)
    • (2008) Proceedings of SIGIR
    • Tan, S.1    Wang, Y.2    Cheng, X.3
  • 27
    • 0001704377 scopus 로고
    • On-line construction of suffix trees
    • Ukkonen, E.: On-line construction of suffix trees. Algorithmica 14(3), 249-260 (1995)
    • (1995) Algorithmica , vol.14 , Issue.3 , pp. 249-260
    • Ukkonen, E.1
  • 29
    • 0002409860 scopus 로고    scopus 로고
    • A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization
    • Thorsten, J.: A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization. In: Proceedings of ICML (1997)
    • (1997) Proceedings of ICML
    • Thorsten, J.1
  • 30
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys (CSUR) 34(1), 1-47 (2002)
    • (2002) ACM Computing Surveys (CSUR) , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 31
    • 0003141935 scopus 로고    scopus 로고
    • A comparative study on feature selection in text categorization
    • Yang, Y., Pedersen, J.O.: A Comparative Study on Feature Selection in Text Categorization. In: Proceedings of ICML'97 (1997)
    • (1997) Proceedings of ICML'97
    • Yang, Y.1    Pedersen, J.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.