Chandraker, Jaiprakash (2024) Real-Time Sentiment Analysis and Interactive Dashboard Deployment for Social Media Discourse. Masters thesis, Dublin, National College of Ireland.
Preview |
PDF (Master of Science)
Download (3MB) | Preview |
Preview |
PDF (Configuration Manual)
Download (1MB) | Preview |
Abstract
This research project focuses on the development and implementation of a realtime sentiment analysis system and an interactive dashboard for monitoring social media discourse. the goal of the research is to identify the sentiment of people toward major political leaders in India, with a focus on Arvind Kejriwal, Narendra Modi, and Rahul Gandhi based on data gathered from Twitter. this study Employs the VADER sentiment analysis tool to classify the sentiments into positive, negative, and neutral. and a machine learning model based on a support vector machine (SVM) with TF-IDF feature extraction. The obtained data is then visualized using an interactive dashboard aimed to be a user-friendly and accessible means of understanding sentiment trends. Therefore, this study is important to fill the gap by providing real-time insights into public opinion on social media offering valuable information for political strategists, researchers, and policymakers.
Actions (login required)
![]() |
View Item |