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Predicting US presidential elections and impact on Indian economy.

Authors :
Manoharan, Geetha
Sharma, Dhruv
Kaur, Pashmeen
Durai, Subhashini
Megaladevi
Source :
AIP Conference Proceedings; 5/24/2022, Vol. 2418 Issue 1, p1-8, 8p
Publication Year :
2022

Abstract

Sentiment analysis is a method of discovery of insights from the texts or comments or feedbacks from underlying a document (opinion mining). This can also be seen as a perspective, a decision or feedbacks on a particular subject matter. The analysis can be done using polarity detection which is a popular technique to devise and segregate information or data as positive, negative or neutral sentiments obtained from different content systems, such as news, audits and tweets. To forecast the results of the recent US presidential elections, this paper aims to operate on data derived from Twitter. The data is available on https://github.com/dhruvsharma2351996/US%5fElection%5fPrediction%5fdata. In the field of politics, where political institutions need to grasp public opinion and therefore evaluate their campaigning strategy, the reasoning behind performing this research isthat the prediction will also help to know that which party has more favorable views and will help to predict future early. US presidential elections will have a major impact on India and by this research paper we will also study the major it will have on Indian economy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
2418
Issue :
1
Database :
Complementary Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
157067910
Full Text :
https://doi.org/10.1063/5.0081825