Database Reference
In-Depth Information
[28] D. M. Blei, “Probabilistic Topic Models,”
Communications of the
ACM,
vol.
55
, no. 4, pp. 77-84, 2012.
[29] D. M. Blei, A. Y. Ng, and M. I. Jordan, “Latent Dirichlet Allocation,”
Journal of Machine Learning Research,
vol.
3
, pp. 993-1022, 2003.
[30] T. Minka, “Estimating a Dirichlet Distribution,” 2000.
[31] J. Chang, “lda: Collapsed Gibbs Sampling Methods for Topic Models,”
CRAN
, 14 October 2012. [Online]. Available:
http://cran.r-project.org/web/packages/lda/
.
[Accessed 3
April 2014].
[32] D. M. Blei, “Topic Modeling Software” [Online]. Available:
[Accessed 11 June 2014].
[33] A. McCallum, K. Nigam, J. Rennie, and K. Seymore, “A Machine
Learning Approach to Building Domain-Specific Search Engines,”
IJCAI,
vol.
99
, 1999.
[34] P. D. Turney, “Thumbs Up or Thumbs Down? Semantic Orientation
Applied to Unsupervised Classification of Reviews,”
Proceedings of the
Association for Computational Linguistics,
pp. 417-424, 2002.
[35] B. Pang, L. Lee, and S. Vaithyanathan, “Thumbs Up? Sentiment
Classification Using Machine Learning Techniques,”
Proceedings of
EMNLP,
pp. 79-86, 2002.
[36] M. Hu and B. Liu, “Mining and Summarizing Customer Reviews,”
Proceedings of the Tenth ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining,
pp. 168-177, 2004.
[37] A. Agarwal, F. Biadsy, and K. R. Mckeown, “Contextual Phrase-Level
Polarity Analysis Using Lexical Affect Scoring and Syntactic N-Grams,”
Proceedings of the 12th Conference of the European Chapter of the
Association for Computational Linguistics,
pp. 24-32, 2009.
[38] B. O'Connor, R. Balasubramanyan, B. R. Routledge, and N. A. Smith,
“From Tweets to Polls: Linking Text Sentiment to Public Opinion Time
Series,”
Proceedings of the Fourth International Conference on Weblogs
and Social Media, ICWSM '10,
pp. 122-129, 2010.
[39] A. Agarwal, B. Xie, I. Vovsha, O. Rambow and R. Passonneau,
“Sentiment Analysis of Twitter Data,”
In Proceedings of the Workshop on
Languages in Social Media,
pp. 30-38, 2011.
[40] H. Saif, Y. He, and H. Alani, “Semantic Sentiment Analysis of
Twitter,”
Proceedings of the 11th International Conference on The
Semantic Web (ISWC'12),
pp. 508-524, 2012.
