A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Machine Learning Based Sentiment Analysis on Twitter Data
2020
International Journal of Emerging Trends in Engineering Research
This paper addresses the problem of sentiment analysis in twitter; that is characterizing tweets as per the feeling communicated in them: positive, negative, or impartial. Twitter is online small-scale blogging and person to person communication stage which permits clients to compose short notices of greatest length 140 characters. It is a quickly extending administration with more than 200 million enlisted clients -out of which 100 million are dynamic clients and half of them sign on twitter
doi:10.30534/ijeter/2020/60882020
fatcat:efipeofdh5brjmu4jzeh6q4gve