2015
DOI: 10.5121/ijcsa.2015.5302
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A Survey of Machine Learning Techniques for Sentiment Classification

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Cited by 15 publications
(6 citation statements)
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“…Thus, it is also called as "Supervised Learning". Examples of techniques under supervised learning include Naïve Bayes, Support Vector Machine, Maximum Entropy, K-Nearest Neighborhood and Neural Networks (Chaudhari & Govilkar, 2015). Machine learning allows capturing and examination of variations and meaning in client feedback across varied channels.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, it is also called as "Supervised Learning". Examples of techniques under supervised learning include Naïve Bayes, Support Vector Machine, Maximum Entropy, K-Nearest Neighborhood and Neural Networks (Chaudhari & Govilkar, 2015). Machine learning allows capturing and examination of variations and meaning in client feedback across varied channels.…”
Section: Introductionmentioning
confidence: 99%
“…NLP is a branch of AI that focuses on natural language processing with a computerized approach used to analyze data, text, speech, etc. Therefore, NLP can perform natural language processing like human language [1].…”
Section: Introductionmentioning
confidence: 99%
“…Opinion Observer, Opinion Finder, Natural Language Toolkit, Apache OpenNLP, LingPipe, WebFountain, Review Seer Tool, etc. [7,8].…”
Section: Introductionmentioning
confidence: 99%