Predicting US presidential elections and impact on Indian economy

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 po...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Manoharan, Geetha, Sharma, Dhruv, Kaur, Pashmeen, Durai, Subhashini, Megaladevi
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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_Election_Prediction_data. 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.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0081825