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Paper Details
Paper Title
A Survey on Various Techniques of Sentiment Analysis in Data Mining
Authors
Zalak M Patel, Vishal P Patel
Abstract
Now-a-days million people have mostly focus on social media platforms to share their own thoughts and opinions to their day to day life, business, celebrity, education etc. people are shared their positive and negative opinions on social media platform. In this paper, we will discuss about to extract the sentiment from a micro blogging service Twitter. In this there is a problem to find out meaningful tweets that include positive and negative emotions of users. The objective of this paper is to extract positive and negative emotions of users from social media. This paper presents the methods for opinion extraction and classification techniques.
Keywords- Opinion Mining, Twitter, Sentiment Analysis on opinion, Social Media, classification
Publication Details
Unique Identification Number - IJEDR1504118Page Number(s) - 693-695Pubished in - Volume 3 | Issue 4 | December 2015DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Zalak M Patel, Vishal P Patel, "A Survey on Various Techniques of Sentiment Analysis in Data Mining", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.693-695, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504118.pdf
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