An Approach to Sentiment Analysis

Authors

  • Wankhede Rohit  Department of CS & IT, Dr.BAMU, Aurangabad, Maharashtra, India
  • Rajkumar Jagdale  Department of CS & IT, Dr.BAMU, Aurangabad, Maharashtra, India

Keywords:

Sentiment Analysis, Opinion Minning, Support Vector Machines, Naïve Bayes, Maximum Entrophy.

Abstract

In this paper we illustrate of various sentiment analysis methods. We explore the basic day to day use of various approaches of sentiment classification .This paper helps to take an overview about the sentiment analysis and polarity classification of opinions of given entity. The paper gives a view of the basic evaluation techniques of of sentiment sentiment analysis along with their performance accuracy according to the survey obtained of sentiments given by user. It also describes steps in sentiment analysis-data input, data preprocessing, selecting pre processed dataset, extracting feature list, training and classification, selection of feature list and related sentence, finding synonyms, calculating similarity and showing polarity.

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International Journal of Scientific Research in Science and Technology

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Published

2018-02-28

Issue

Volume 4, Issue 2, January-February-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Wankhede Rohit, Rajkumar Jagdale, " An Approach to Sentiment Analysis, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 2, pp.1508-1513, January-February-2018.