Review on sentiment analysis

Authors

  • Miss. Shubhangi Arvind Patil Jawharlal Nehru Engineering College,Aurnagabad
  • Mangesh Lokhande Jawharlal Nehru Engineering College,Aurnagabad

Keywords:

Text mining; sentiment anlaysis; Social networks; sentiment classification

Abstract

To identify the sentiment of text has been gain lot of popularity due to availability of huge amount of
datasets,mainly on social networking sites of internet.Now a days sites like twitter,facebook generate large amount of
data.Millions of people share their opinions on this sites.In this paper we will discuss about the existing approach of sentiment
analysis of twitter dataset which will automatically give the result of the collected dataset in terms of negative,positive and
neutral.And this will help to the companies who want to get the feedback about their products.

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Published

2016-10-25

How to Cite

Miss. Shubhangi Arvind Patil, & Mangesh Lokhande. (2016). Review on sentiment analysis. International Journal of Advance Research in Engineering, Science & Technology, 3(10), 73–75. Retrieved from https://ijarest.org/index.php/ijarest/article/view/990

Issue

Vol. 3 No. 10 (2016): Volume: 03, Issue: 10 - October, 2016.

Section

Articles