Bibliographic Details
| Title: |
Deep study of estimation analysis on Twitter data. |
| Authors: |
Killedar, Ayesha Siddiqua1 (AUTHOR), Reddy, Bhaskar1 (AUTHOR) bhaskarreddy.pv@reva.edu.in |
| Source: |
AIP Conference Proceedings. 2024, Vol. 2742 Issue 1, p1-5. 5p. |
| Subject Terms: |
*SOCIAL media, *DATA analysis, *RELIGION & politics, *FAKE news, *INTERNET users |
| Abstract: |
As technology has increased these social media has become vast plat for people to share their views, thought, and twitter has become one the best social media plat form where people are sharing their thoughts, views and their emotions publically, that's why twitter has become one of the best platform where group of people will share their thought about leader, or a trending news or about politics and religion, education etc the fast in the number of web user, In today's world has an huge measure of data produce by the inhabitants. This information plays vital role when it comes for selling a product, country's election, differentiating fake news and real news through twitter. Bias detection where we identify the statement Toanalysis these kind of data, deep estimation analysis is used. The aim is to find the opinion of the people by taking the data and classify it according to its divergence, i.e. the tweets will get divided into positive negative and neutral, it will help to know the opinion of the people, and mentality of the people. [ABSTRACT FROM AUTHOR] |
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| Database: |
Academic Search Complete |
