메뉴 건너뛰기




Volumn , Issue , 2009, Pages 701-709

Mine the Easy, Classify the Hard: A Semi-Supervised Approach to Automatic Sentiment Classification

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS;

EID: 85048736608     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (129)

References (19)
  • 1
    • 84860524227 scopus 로고    scopus 로고
    • Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
    • John Blitzer, Mark Dredze, and Fernando Pereira. 2007. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of the ACL, pages 440–447.
    • (2007) Proceedings of the ACL , pp. 440-447
    • Blitzer, John1    Dredze, Mark2    Pereira, Fernando3
  • 3
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • David Cohn, Les Atlas, and Richard Ladner. 1994. Improving generalization with active learning. Machine Learning, 15(2):201–221.
    • (1994) Machine Learning , vol.15 , Issue.2 , pp. 201-221
    • Cohn, David1    Atlas, Les2    Ladner, Richard3
  • 4
    • 12244256379 scopus 로고    scopus 로고
    • Kernel k-means, spectral clustering and normalized cuts
    • Inderjit Dhillon, Yuqiang Guan, and Brian Kulis. 2004. Kernel k-means, spectral clustering and normalized cuts. In Proceedings of KDD, pages 551–556.
    • (2004) Proceedings of KDD , pp. 551-556
    • Dhillon, Inderjit1    Guan, Yuqiang2    Kulis, Brian3
  • 6
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • Bernhard Scholkopf and Alexander Smola, editors, pages MIT Press
    • Thorsten Joachims. 1999. Making large-scale SVM learning practical. In Bernhard Scholkopf and Alexander Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 44–56. MIT Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 44-56
    • Joachims, Thorsten1
  • 9
    • 33646890004 scopus 로고    scopus 로고
    • The importance of neutral examples for learning sentiment
    • Moshe Koppel and Jonathan Schler. 2006. The importance of neutral examples for learning sentiment. Computational Intelligence, 22(2):100–109.
    • (2006) Computational Intelligence , vol.22 , Issue.2 , pp. 100-109
    • Koppel, Moshe1    Schler, Jonathan2
  • 13
    • 85141280473 scopus 로고    scopus 로고
    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
    • Bo Pang and Lillian Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the ACL, pages 271–278.
    • (2004) Proceedings of the ACL , pp. 271-278
    • Pang, Bo1    Lee, Lillian2
  • 14
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up? Sentiment classification using machine learning techniques
    • Bo Pang, Lillian Lee, and Shivakumar Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of EMNLP, pages 79–86.
    • (2002) Proceedings of EMNLP , pp. 79-86
    • Pang, Bo1    Lee, Lillian2    Vaithyanathan, Shivakumar3
  • 15
    • 0007696417 scopus 로고    scopus 로고
    • Less is more: Active learning with support vector machines
    • Greg Schohn and David Cohn. 2000. Less is more: Active learning with support vector machines. In Proceedings of ICML, pages 839–846.
    • (2000) Proceedings of ICML , pp. 839-846
    • Schohn, Greg1    Cohn, David2
  • 17
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • Simon Tong and Daphne Koller. 2002. Support vector machine active learning with applications to text classification. Journal of Machine Learning Research, 2:45–66.
    • (2002) Journal of Machine Learning Research , vol.2 , pp. 45-66
    • Tong, Simon1    Koller, Daphne2
  • 18
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews
    • Peter Turney. 2002. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In Proceedings of the ACL, pages 417–424.
    • (2002) Proceedings of the ACL , pp. 417-424
    • Turney, Peter1
  • 19
    • 0033285447 scopus 로고    scopus 로고
    • Segmentation using eigenvectors: A unifying view
    • Yair Weiss. 1999. Segmentation using eigenvectors: A unifying view. In Proceedings of ICCV, pages 975–982.
    • (1999) Proceedings of ICCV , pp. 975-982
    • Weiss, Yair1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.