Deep About Tweet - A Sentiment Visualizer

Main Article Content

Yash Pandya

Abstract

Twitter gets new user every second, We can find users attitude towards various topics and visualize it based on attitude/emotions. We can find links in tweets that user uses frequently and also type of source used several times. We also find words,hashtags and from different hashtags we can find geolocation that most of tweets with same hashtags comes from, common topics and tags associated with tweet and cluster them using Data Mining concept in word cloud, we can make a chart of tweets vs time which helps to understand the users attitude with respect to time, we will make an API for our system so that it can be used in various system or applications if needed.

Article Details

How to Cite
, Y. P. (2018). Deep About Tweet - A Sentiment Visualizer. International Journal on Recent and Innovation Trends in Computing and Communication, 6(11), 21–23. https://doi.org/10.17762/ijritcc.v6i11.5198
Section
Articles