Publication Type:

Journal Article

Source:

International Journal of Pure and Applied Mathematics, Academic Press, Volume 114, Number 11 Special Issue, p.47-57 (2017)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029761542&partnerID=40&md5=5a7b3e788889b6d27fd5091c5261639f

Abstract:

Sentiment analysis has already started playing a vital role in most of social media. Whether it is social networking sites or video or audio based systems, people are interested in knowing the sentiments which will help them to identify whether the word is positive, negative or neutral. Sentiment analysis in turn helps to detect the emotions. In the proposed work sentiment analysis is used to find the review for a particular movie by using a novel combination of deep learning technique CNN and unsupervised learning method K means upon movie reviews, which gives a better estimation of the sentiments than the existing methods which are currently available. This minimal improvement in the accuracy is expected to get improved when applied to a larger corpus of big data where it will show its significance.

Notes:

cited By 0

Cite this Research Publication

S. B. Lakshmi, Sini Raj P., and R. Vikram, R., “Sentiment Analysis using Deep Learning Technique CNN with KMeans”, International Journal of Pure and Applied Mathematics, vol. 114, pp. 47-57, 2017.

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