Pravesh Kumar Singh and Mohd Shahid Husain, Integral University, India
ABSTRACT
Decision making both on individual and organizational level is always accompanied by the search of other’s opinion on the same. With tremendous establishment of opinion rich resources like, reviews, forum discussions, blogs, micro-blogs, Twitter etc provide a rich anthology of sentiments. This user generated content can serve as a benefaction to market if the semantic orientations are deliberated. Opinion mining and sentiment analysis are the formalization for studying and construing opinions and sentiments. The digital ecosystem has itself paved way for use of huge volume of opinionated data recorded. This paper is an attempt to review and evaluate the various techniques used for opinion and sentiment analysis.
KEYWORDS
Opinion Mining, Sentiment Analysis, Feature Extraction Techniques, Naïve Bayes Classifiers, Clustering, Support Vector Machines
Original Source URL: https://airccse.org/journal/ijsc/papers/5114ijsc02.pdf
https://airccse.org/journal/ijsc/current2014.html
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