A Survey on Analysis of Twitter Opinion Mining Using Sentiment Analysis

Authors

  • Vishnu VardanReddy  B-Tech, Department of CSE, VVIT, Guntur, Andhra Pradesh, India
  • Mahesh Maila  B-Tech, Department of CSE, VVIT, Guntur, Andhra Pradesh, India
  • Sai Sri Raghava  B-Tech, Department of CSE, VVIT, Guntur, Andhra Pradesh, India
  • Yashwanth Avvaru  B-Tech, Department of CSE, VVIT, Guntur, Andhra Pradesh, India
  • Sri. V. Koteswarao  Assistant Professor, Department of CSE, VVIT, Guntur, Andhra Pradesh, India

DOI:

https://doi.org//10.32628/CSEIT1952126

Keywords:

Twitter Data, Opinion Mining, Sentiment Analysis.

Abstract

In recent years, there is a rapid growth in online communication. There are many social networking sites and related mobile applications, and some more are still emerging. Huge amount of data is generated by these sites everyday and this data can be used as a source for various analysis purposes. Twitter is one of the most popular networking sites with millions of users. There are users with different views and varieties of reviews in the form of tweets are generated by them. Nowadays Opinion Mining has become an emerging topic of research due to lot of opinionated data available on Blogs & social networking sites. Tracking different types of opinions & summarizing them can provide valuable insight to different types of opinions to users who use Social networking sites to get reviews about any product, service or any topic. Analysis of opinions & its classification on the basis of polarity (positive, negative, neutral) is a challenging task. Lot of work has been done on sentiment analysis of twitter data and lot needs to be done. In this paper we discuss the levels, approaches of sentiment analysis, sentiment analysis of twitter data, existing tools available for sentiment analysis and the steps involved for same. Two approaches are discussed with an example which works on machine learning and lexicon based respectively.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Vishnu VardanReddy, Mahesh Maila, Sai Sri Raghava, Yashwanth Avvaru, Sri. V. Koteswarao, " A Survey on Analysis of Twitter Opinion Mining Using Sentiment Analysis, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.537-542, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952126