메뉴 건너뛰기




Volumn , Issue , 2013, Pages 2079-2088

Adaptive co-training SVM for sentiment classification on tweets

Author keywords

Co training; Multiclass SVM; Semi supervised learning; Sentiment classification; Tweet sentiment

Indexed keywords

CO-TRAINING; MULTICLASS SVM; SEMI-SUPERVISED LEARNING; SENTIMENT CLASSIFICATION; TWEET SENTIMENT;

EID: 84889560823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2505515.2505569     Document Type: Conference Paper
Times cited : (66)

References (40)
  • 2
    • 84860524227 scopus 로고    scopus 로고
    • Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
    • J. Blitzer, M. Dredze, and F. Pereira. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL, Volume 7, pages 440-447, 2007.
    • (2007) ACL , vol.7 , pp. 440-447
    • Blitzer, J.1    Dredze, M.2    Pereira, F.3
  • 5
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • K. Crammer and Y. Singer. On the algorithmic implementation of multiclass kernel-based vector machines. The Journal of Machine Learning Research, 2:265-292, 2002.
    • (2002) The Journal of Machine Learning Research , vol.2 , pp. 265-292
    • Crammer, K.1    Singer, Y.2
  • 7
    • 0036454664 scopus 로고    scopus 로고
    • Semi-superyised support vector machines for unlabeled data classification
    • G. Fung and O. L. Mangasarian. Semi-superyised support vector machines for unlabeled data classification. Optimization methods and software, 15(1):29-44, 2001.
    • (2001) Optimization Methods and Software , vol.15 , Issue.1 , pp. 29-44
    • Fung, G.1    Mangasarian, O.L.2
  • 9
    • 78650122641 scopus 로고    scopus 로고
    • Twitter sentiment classification using distant supervision
    • A. Go, R. Bhayani, and L. Huang. Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford, pages 1-12, 2009.
    • (2009) CS224N Project Report, Stanford , pp. 1-12
    • Go, A.1    Bhayani, R.2    Huang, L.3
  • 10
    • 84893386315 scopus 로고    scopus 로고
    • Large-scale sentiment analysis for news and blogs
    • N. Godbole, M. Srinivasaiah, and S. Skiena. Large-scale sentiment analysis for news and blogs. ICWSM, 7, 2007.
    • ICWSM , vol.7 , pp. 2007
    • Godbole, N.1    Srinivasaiah, M.2    Skiena, S.3
  • 13
    • 9444223818 scopus 로고    scopus 로고
    • Mining opinion features in customer reviews
    • M. Hu and B. Liu. Mining opinion features in customer reviews. In AAAI, Volume 4, pages 755-760, 2004.
    • (2004) AAAI , vol.4 , pp. 755-760
    • Hu, M.1    Liu, B.2
  • 14
    • 84908217268 scopus 로고    scopus 로고
    • Overview of the TREC 2011 microblog track
    • O. I., M. C., L. J., and S. I.
    • O. I., M. C., L. J., and S. I. Overview of the TREC 2011 microblog track. In TREC'11, 2011.
    • (2011) TREC'11
  • 15
    • 85180745563 scopus 로고    scopus 로고
    • Overview of the TREC 2012 microblog track
    • S. I., O. I., and L. J.
    • S. I., O. I., and L. J. Overview of the TREC 2012 microblog track. In TREC'12, 2012.
    • (2012) TREC'12
  • 16
    • 1942483137 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • T. Joachims. Transductive inference for text classification using support vector machines. In ICML, Volume 99, pages 200-209, 1999.
    • (1999) ICML , vol.99 , pp. 200-209
    • Joachims, T.1
  • 18
    • 85128719106 scopus 로고    scopus 로고
    • Twitter sentiment analysis: The good the bad and the omg!
    • E. Kouloumpis, T. Wilson, and J. Moore. Twitter sentiment analysis: The good the bad and the omg! In ICWSM, 2011.
    • (2011) ICWSM
    • Kouloumpis, E.1    Wilson, T.2    Moore, J.3
  • 25
    • 85167446249 scopus 로고    scopus 로고
    • Emoticon smoothed language models for twitter sentiment analysis
    • K.-L. Liu, W.-J. Li, and M. Guo. Emoticon smoothed language models for twitter sentiment analysis. In AAAI, 2012.
    • (2012) AAAI
    • Liu, K.-L.1    Li, W.-J.2    Guo, M.3
  • 27
    • 84890586735 scopus 로고    scopus 로고
    • Crossing media streams with sentiment: Domain adaptation in blogs, reviews and twitter
    • Y. Mejova and P. Srinivasan. Crossing media streams with sentiment: Domain adaptation in blogs, reviews and twitter. In ICWSM, 2012.
    • (2012) ICWSM
    • Mejova, Y.1    Srinivasan, P.2
  • 35
    • 67649142902 scopus 로고    scopus 로고
    • A joint model of text and aspect ratings for sentiment summarization
    • I. Titov and R. McDonald. A joint model of text and aspect ratings for sentiment summarization. Urbana, 51:61801, 2008.
    • (2008) Urbana , vol.51 , pp. 61801
    • Titov, I.1    McDonald, R.2
  • 36
    • 84890668120 scopus 로고    scopus 로고
    • Predicting elections with twitter: What 140 characters reveal about political sentiment
    • A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Predicting elections with twitter: What 140 characters reveal about political sentiment. ICWSM, 10:178-185, 2010.
    • (2010) ICWSM , vol.10 , pp. 178-185
    • Tumasjan, A.1    Sprenger, T.O.2    Sandner, P.G.3    Welpe, I.M.4
  • 37
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews
    • Association for Computational Linguistics
    • P. D. Turney. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th annual meeting on association for computational linguistics, pages 417-424. Association for Computational Linguistics, 2002.
    • (2002) Proceedings of the 40th Annual Meeting on Association for Computational Linguistics , pp. 417-424
    • Turney, P.D.1
  • 38
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • IEEE Transactions on
    • V. N. Vapnik. An overview of statistical learning theory. Neural Networks, IEEE Transactions on, 10(5):988-999, 1999.
    • (1999) Neural Networks , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1
  • 40
    • 84862280697 scopus 로고    scopus 로고
    • Filling the gap: Semi-supervised learning for opinion detection across domains
    • Association for Computational Linguistics
    • N. Yu and S. Kübler. Filling the gap: Semi-supervised learning for opinion detection across domains. In Proceedings of the Fifteenth Conference on Computational Natural Language Learning, pages 200-209. Association for Computational Linguistics, 2011.
    • (2011) Proceedings of the Fifteenth Conference on Computational Natural Language Learning , pp. 200-209
    • Yu, N.1    Kübler, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.