Tweets Emotion Interpretation Data Application |
Author(s): |
| Kodamagulla Kausthub , Vidya Jyothi Institute of Technology; Kurukunda Sreenath Reddy, Vidya Jyothi Institute of technology |
Keywords: |
| Emotion Analysis, Python, Word-Cloud, Streamlit |
Abstract |
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Twitter is a social media platform where one can express his/her views by tweeting about the current and also various issues and events happening in our society. The tweets limit is 280 characters. Twiiter has been very influential in making people understand and also express their views among the activities happening in and around our societies. Twitter is so powerful that it has majorly influenced various events happening around the world. This paper mainly relates to the problem of emotion analysis in case of various tweets. We basically analyze the tweet emotion and accordingly are displayed and visualized using streamlit library. It mainly divides tweets into positive, negative and neutral emotion. |
Other Details |
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Paper ID: IJSRDV9I20085 Published in: Volume : 9, Issue : 2 Publication Date: 01/05/2021 Page(s): 84-86 |
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