Tweet Retrieval and Analysing the Trends
Utkarsh Malik1, Harpreet Kaur2, Aditi Chaudhary3
1Utkarsh Malik*, Department of IT & CSE, Meerut Institute of Engineering and Technology, Meerut (U.P), India.
2Harpreet Kaur, Department of IT & CSE, Meerut Institute of Engineering and Technology, Meerut (U.P), India.
3Aditi Chaudhary, Department of IT & CSE, Meerut Institute of Engineering and Technology, Meerut (U.P), India.
Manuscript received on June 12, 2021. | Revised Manuscript received on June 22, 2021. | Manuscript published on July 30, 2021. | PP: 34-38 | Volume-10 Issue-2, July 2021. | Retrieval Number: 100.1/ijrte.B61020710221| DOI: 10.35940/ijrte.B6102.0710221
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We can’t disregard the importance of Social Media in Today’s Technology Era. Internet is almost in every hand. People uses various Social Media platforms to express themselves and their thinking about various topics such as Politics, Entertainment, Sports, etc. In the Data Science industry, trend analysis can be used for several purposes like marketing or product analysis. Twitter data has been used to analyze political polarization and the spread of protest movements. Twitter is one of the most popular social media platform that allows the users to spread and share information. Twitter publishes the list of recent or latest topics named as “Trending Topics” which shows all the happenings in the world and what are the people’s opinions about those topics. This Trend Analyzer will work on a given set of tweets and generates a graph based on the tweets and showsthe comparative popularity of the used hashtags. This Analyzer will examine a set of tweets using Python and text-processing techniques.
Keywords: In The Data Science Industry, Trend Analysis Can Be Used For Several Purposes Like Marketing Or Product Analysis.