Computer Science & Electrical

Computer Science & Electrical

Sentiment Analysis Of Twitter Data Using Shiny Application And NLP

Pages: 7  ,  Volume: 4  ,  Issue: 1 , May   2018
Received: 13 May 2018  ,  Published: 19 May 2018
Views: 162  ,  Download: 81


# Author Name
1 T. Arumuga Maria Devi, S. Subha Kumar


AbstractThis project addresses the problem of sentiment analysis in twitter; that is classifying tweets according to the sentiment expressed in them: positive and negative. The objective of this project is to create a user interface using Shiny to enable users for evaluate the sentiments of the tweets based on either a given twitter username. The interface also allows the user to give the number of tweets. Performs text mining to build word clouds for positive and negative sentiments and understand the overall sentiments for the given search user name. The purpose is to investigate whether removing stop words helps or hampers the effectiveness of twitter sentiment classification methods.




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