POLITICAL SENTIMENT ANALYSIS ON TWEET

POLITICAL SENTIMENT ANALYSIS ON TWEET

1 Usha G Vanapad, 2 Sindhu S L

[1]. Student, Department of MCA, BIET, Davangere

[2]. Assistant professor ,Department of MCA ,BIET ,Davangere

ABSTRACT

In this study, a complete NLP-based sentiment analysis tool specifically designed for handling political tweets is merged with the sentiment analysis VADER approach. In addition to the standard sentiment analysis functionalities, the solution includes a web application interface with modules dedicated to users and administrators. Users can register and use the interface to perform real-time sentiment analysis on political tweets, providing valuable insights into popular opinion on political issues, figures, and events. Thanks to the administrator module, administrators may monitor registered users' activity and manage user registrations in the interim. This study aims to provide political stakeholders with accurate and timely insights into the dynamics of public sentiment within the political arena by combining advanced natural language processing (NLP) techniques with an easy-to-use web application interface. This will allow political stakeholders to communicate their ideas and make well-informed decisions in real time.

Keyword: Twitter, Sentiment Analysis, NLP, Machine Learning.