TWEET ANALYZER
To know about a twitter user use our analyzer to get the deatils about the percentage of positivity and negativity in their tweets.
Created on 7th January 2023
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TWEET ANALYZER
To know about a twitter user use our analyzer to get the deatils about the percentage of positivity and negativity in their tweets.
The problem TWEET ANALYZER solves
With the advancement of web technology and its growth, there is a huge volume of data
present on the web for internet users, and a lot of data is generated too. The Internet has
become a platform for online learning, exchanging ideas, and sharing opinions. Social
networking sites like Twitter, Facebook, and Google+ are rapidly gaining popularity as
they allow people to share and express their views about topics, have a discussion with
different communities, or post messages across the world. In this project, we try to
implement a Twitter sentiment analysis model that helps to overcome the challenges of
identifying the sentiments of the tweets.
Challenges we ran into
The one of the major challenge we faced while designing our analysis model was the availability of data set. We then got to know about the Twitter development account where we got the access of millions of twitter profiles that made our task a bit easy.