Twitter Sentiment Analysis


Authors : Faizan.

Volume/Issue : Volume 4 - 2019, Issue 2 - February

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/Q4Dtwc

Thomson Reuters ResearcherID : https://goo.gl/KTXLC3

With the evolving behavior of different types of social networking sites like Instagram, twitter, snapchat etc , the data posted by people i.e the users of a particular social site is increasing drastically . So much so that almost millions and billions of data may it be textual, video or audio is posted per day. This is because there are millions of users of a particular site. These users intend to share their thoughts, views related to any topic of their choosing. Some of these users even post in vain. These posts are short hence only meant to express a particular view of a particular user regarding a particular thing. In this paper we aim to derive the feelings behind these posts. For this we have chosen twitter as a social networking site. The posts in this social networking site are known as tweets. In this paper we scrutinize methods of preprocessing and extraction of twitter data using python and then train as well as test this data against a classifier in order to derive the sentiments behind tweets.

CALL FOR PAPERS


Paper Submission Last Date
31 - March - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe