A Review on Web Sentiment Analysis for Scoring Positive or Negative Words using Social Networking Sites

Authors

  • Parag Kadu CSE Department, P.R.M.I.T & R College
  • V.S.Sakharkar CSE Department, P.R.M.I.T & R College
  • S.V.Baghel CSE Department, P.R.M.I.T & R College
  • R.R.Karwa CSE Department, P.R.M.I.T & R College
  • G.B.Saboo CSE Department, P.R.M.I.T & R College

Keywords:

Sentiment Analysis, Natural Language Processing, Artificial Intelligence

Abstract

As people are free to say their opinions on anything using various social networking sites like Twitter,
Facebook , Discussion forums, and blogs. Particularly Micro blogging and text messaging have emerged and become
dominated tool over the web. Post are often used to share opinions and sentiments about the surrounding world. The
availability of social content generated on social sites creates new opportunities to study public opinion about the
entity. We took comments as a data for sentiment classification. The Sentiment analysis is done on a per comment
basis. The words in each comment are compared after looking at these words, the algorithm then judges whether the
text in the post is positive or negative based on the likelihood for each possibility.

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Published

2017-03-25

How to Cite

Parag Kadu, V.S.Sakharkar, S.V.Baghel, R.R.Karwa, & G.B.Saboo. (2017). A Review on Web Sentiment Analysis for Scoring Positive or Negative Words using Social Networking Sites. International Journal of Advance Research in Engineering, Science & Technology, 4(3), 404–409. Retrieved from https://ijarest.org/index.php/ijarest/article/view/958

Issue

Vol. 4 No. 3 (2017): Volume: 04, Issue: 03 - March, 2017.

Section

Articles