Twitter Sentiment Analysis with Textblob


Authors : Nevil Gajera; Kishan Chanchad; Sneh Vora

Volume/Issue : Volume 7 - 2022, Issue 11 - November

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3EZjpdX

DOI : https://doi.org/10.5281/zenodo.7392678

Abstract : In the World, many social media sites exist like Twitter, Instagram, Facebook, Snapchat, etc. and data posted by people on these social media sites are increasing quickly that containing audio, video, text, and images. People use this site to share their thoughts and opinion and sometimes share their opinion and thoughts towards any company. For this, we have chosen twitter and applied sentiment analysis. In this paper, we discuss a method of data extraction through API, data cleaning, and use text blob python library for sentiment analysis.

Keywords : Twitter, sentiment, opinion mining, social media, natural language processing, sentiment analysis.

In the World, many social media sites exist like Twitter, Instagram, Facebook, Snapchat, etc. and data posted by people on these social media sites are increasing quickly that containing audio, video, text, and images. People use this site to share their thoughts and opinion and sometimes share their opinion and thoughts towards any company. For this, we have chosen twitter and applied sentiment analysis. In this paper, we discuss a method of data extraction through API, data cleaning, and use text blob python library for sentiment analysis.

Keywords : Twitter, sentiment, opinion mining, social media, natural language processing, sentiment analysis.

Video Explanation for Published paper

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