A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification

Nazlia Omar, Mohammed Albared, Tareq Al-Moslmi, Adel Al-Shabi. A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification. In Azizah Jaafar, Nazlena Mohamad Ali, Shahrul Azman Mohd. Noah, Alan F. Smeaton, Peter Bruza, Zainab Abu Bakar, Nursuriati Jamil, Tengku Mohd Tengku Sembok, editors, Information Retrieval Technology - 10th Asia Information Retrieval Societies Conference, AIRS 2014, Kuching, Malaysia, December 3-5, 2014. Proceedings. Volume 8870 of Lecture Notes in Computer Science, pages 429-443, Springer, 2014. [doi]

@inproceedings{OmarAAA14,
  title = {A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification},
  author = {Nazlia Omar and Mohammed Albared and Tareq Al-Moslmi and Adel Al-Shabi},
  year = {2014},
  doi = {10.1007/978-3-319-12844-3_37},
  url = {http://dx.doi.org/10.1007/978-3-319-12844-3_37},
  researchr = {https://researchr.org/publication/OmarAAA14},
  cites = {0},
  citedby = {0},
  pages = {429-443},
  booktitle = {Information Retrieval Technology - 10th Asia Information Retrieval Societies Conference, AIRS 2014, Kuching, Malaysia, December 3-5, 2014. Proceedings},
  editor = {Azizah Jaafar and Nazlena Mohamad Ali and Shahrul Azman Mohd. Noah and Alan F. Smeaton and Peter Bruza and Zainab Abu Bakar and Nursuriati Jamil and Tengku Mohd Tengku Sembok},
  volume = {8870},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-12843-6},
}