Real-Time Sentiment Analysis of Twitter Data

Shaik Hamed
2021 International Journal for Research in Applied Science and Engineering Technology  
The Internet has been a promising forum for online learning, exchanges of ideas and sharing views with the emerging social networking era and its development. Social media provide a large quantity of feeling information in emails, blogs, status updates and posts. This article uses the most common twitter micro blogging site. The Twitter emotion analysis is an extension of Twitter (tweet) feel analysis to extract views and feelings from users. The key aim is to examine how methods of text
more » ... s may be used to delve through some of the information in a series of articles that concentrate on tweet language patterns, tweet twitter volumes. Experimental assessments demonstrate the efficiency and precision of the proposed machine classificators. Python implements the proposed algorithm. The paper focuses about how a feeling study has been designed and a large number of tweets extracted. In this development prototyping is used. Results characterise the view of consumers by tweets as 3 types of positive and 3 types of hate as seen in a pie chart and in an HTML tab.
doi:10.22214/ijraset.2021.34345 fatcat:77cnd3b4hbf4nhgzf5orqrnj2a