Sentiment Classification with SVMs

Related Papers and Links

For more information on this topic, please take a look at the following related papers and links:

 

  1. Pang, B., Lee, L., and Vaithyanathan, S. Thumbs up? Sentiment Classification using Machine Learning Techniques Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2002, p. 79-86
  2. Peter Turney. 2002. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In Proc. of the ACL.
  3. Pang, B., and Lee, L. A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts Proceedings of the ACL, 2004.
  4. Thorsten Joachims. 1998. Text categorization with support vector machines: Learning with many relevant features. In Proc. of the European Conference on Machine Learning (ECML), pages 137–142.
  5. T. Joachims, Making large-Scale SVM Learning Practical. Advances in Kernel Methods - Support Vector Learning, B. Schölkopf and C. Burges and A. Smola (ed.), MIT-Press, 1999.
  6. Williams, K. Algorithms-SVMLight. http://search.cpan.org/~kwilliams/Algorithm-SVMLight/lib/Algorithm/SVMLight.pm
  7. Sood, S., Owsley, S., Hammond, K., and Birnbaum, L. S. Sood, S. Owsley, and K. Hammond. Reasoning through search: A novel approach to sentiment classification. In submitted to EMNLP, July 2006.