Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection

Kathleen T. Durant, Michael D. Smith. Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection. In Olfa Nasraoui, Myra Spiliopoulou, Jaideep Srivastava, Bamshad Mobasher, Brij M. Masand, editors, Advances in Web Mining and Web Usage Analysis, 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Philadelphia, PA, USA, August 20, 2006, Revised Papers. Volume 4811 of Lecture Notes in Computer Science, pages 187-206, Springer, 2006. [doi]

@inproceedings{DurantS06,
  title = {Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection},
  author = {Kathleen T. Durant and Michael D. Smith},
  year = {2006},
  doi = {10.1007/978-3-540-77485-3_11},
  url = {http://dx.doi.org/10.1007/978-3-540-77485-3_11},
  tags = {machine learning},
  researchr = {https://researchr.org/publication/DurantS06},
  cites = {0},
  citedby = {0},
  pages = {187-206},
  booktitle = {Advances in Web Mining and Web Usage Analysis, 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Philadelphia, PA, USA, August 20, 2006, Revised Papers},
  editor = {Olfa Nasraoui and Myra Spiliopoulou and Jaideep Srivastava and Bamshad Mobasher and Brij M. Masand},
  volume = {4811},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-77484-6},
}