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A Survey on Online Trending Forum Detection
Gondaliya Vaidehi

Published in: International Journal of Scientific Review and Research in Engineering and Technology
Volume- 1, Issue-2, pp.34-41, Feb 2016
DPI :-> 16.10069.IJSRRET.2016.V1I2.3441.144



Abstract
Sentiment analysis is a process to analyze emotions, characteristics and opinions about various products, problem or topic. Social network, online forums, blogs and various sites contains opinion and review of people in the form of posted messages. Now, a day the knowledge obtained from these posts is very useful for marketing research. In the process to detect online trending forum, In first phase emotional polarity of posted messages is calculated and in second phase trending forums are identified using clustering method K-Means and various classification techniques like SVM, Naïve Bayes, PSO-SVM. Among them K-means and PSO-SVM gives better accuracy compare to other techniques.

Key-Words / Index Term
SVM (Support Vector Machine); EM(Extraction Maximization); Sentiment Analysis; Hotspot Detection; K-Means.

How to cite this article
Gondaliya Vaidehi , “A Survey on Online Trending Forum Detection”, International Journal of Scientific Review and Research in Engineering and Technology, 1, Issue-2, pp.34-41, Feb 2016. DPI:16.10069.IJSRRET.V1.I2.144