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