Developing an Approach to Evaluate and Observe Sentiments of Tweets

Authors

  • Parinita Agarwal  Radha Govind Group of Institutions, Meerut, Uttar Pradesh, India

DOI:

https://doi.org//10.32628/CSEIT1953143

Keywords:

Twitter, Sentiment Analysis, Tweepy, Textblob, Machine Learning, Sentiment Classification

Abstract

Social media are computer- mediated tools that allow people or companies to create, share or exchange information, career interests, ideas and the form of text, audio, video, image in virtual communities and networks. Twitter is a trendy microblogging service where many users procreate various status messages called tweets. Twitter is the fastest way to get real time information from the around the world. Tweets themselves are short and compact, like newspaper headlines. Analysis of sentiment is widely observed on numerous social networking websites. Nowadays, microblogging sites deed as a base to perceive the actual social opinion. The task of sentimental analysis is often known by many other names as opinion extraction, opinion mining, sentiment mining, subjectivity analysis.

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

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Published

2019-06-30

Issue

Volume 5, Issue 3, May-June-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]
Parinita Agarwal, " Developing an Approach to Evaluate and Observe Sentiments of Tweets, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 3, pp.473-479, May-June-2019. Available at doi : https://doi.org/10.32628/CSEIT1953143