Sentiment classification of Roman-Urdu opinions using Naïve Bayesian, Decision Tree and KNN classification techniques-Reference-Cited by-同舟云学术

Sentiment classification of Roman-Urdu opinions using Naïve Bayesian, Decision Tree and KNN classification techniques

Published:2016-07 Issue:3 Volume:28 Page:330-344
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Bilal Muhammad^ORCID,Israr Huma,Shahid Muhammad,Khan Amin

Publisher

Elsevier BV

Subject

General Computer Science

Reference22 articles.

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2. Ahmed, T., 2009. Roman to Urdu transliteration using wordlist. In: Proceedings of the Conference on Language and Technology, 305–309.

3. Amor, N.B., Benferhat, S., Elouedi, Z., 2004. Naive Bayes vs decision trees in intrusion detection systems. In: ACM Symp. on Applied Computing, pp. 420–424.

4. Performance comparison between Naïve Bayes, decision tree and k-nearest neighbor in searching alternative design in an energy simulation tool;Ashari;Int. J. Adv. Comput. Sci. Appl.,2013

5. Batista, G.E.A.P.A., Silva, D.F., 2009. How k-nearest neighbor parameters affect its performance. In: Simposio Argentino de Inteligencia Artificial, pp. 95–106.

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