The Various Approaches for Sentiment Analysis: A Survey
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 157 | Views: 462

Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 1, January 2016 | Popularity: 6.8 / 10


     

The Various Approaches for Sentiment Analysis: A Survey

M. Dorothy, S. Rajini


Abstract: Sentiment analysis or Opinion mining is a machine learning approach in which machines analyze and classify the humans sentiments which are expressed in the form of either text or speech. The textual reviews available in the web are increasing day by day. Manual analysis of such large number of reviews is practically impossible. Therefore, sentiment analysis can be used to mine the overall sentiment or opinion polarity from the texts. The sentiment analysis finds its application in movie reviews, blogs, customer feedback, twitter etc. This literature survey is the study of various approaches/methods that can be used to classify the reviews.


Keywords: Machine learning, Sentiment analysis, Opinion mining, polarity


Edition: Volume 5 Issue 1, January 2016


Pages: 44 - 46


DOI: https://www.doi.org/10.21275/NOV152558


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M. Dorothy, S. Rajini, "The Various Approaches for Sentiment Analysis: A Survey", International Journal of Science and Research (IJSR), Volume 5 Issue 1, January 2016, pp. 44-46, https://www.ijsr.net/getabstract.php?paperid=NOV152558, DOI: https://www.doi.org/10.21275/NOV152558

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