Sentiment Analysis of Users’ Comments on Budget Speeches by the Indian Finance Minister (2019–2023): A Data Mining Study based on YouTube Videos

Authors

  • Nitesh Kumar Verma Department of Library and Information Science at Babasaheb Bhimrao Ambedkar University, Lucknow
  • Swagota Saikia Department of Library and Information Science at Mizoram University, Aizawl, India
  • Manoj Kumar Verma Department of Library and Information Science at Mizoram University, Aizawl, India.

Keywords:

YouTube speeches, Finance Minister, sentiment analysis, data mining, comment analysis, budget speeches, communication strategies

Abstract

This study examines the sentiment analysis of public responses to the Indian Finance Minister’s budget speeches from 2019 to 2023, leveraging Python programming and NLP techniques.Objectives include evaluating video characteristics such as duration, resolution, view count, and likes; ranking videos based on engagement metrics; analyzing sentiments in speeches and viewer comments; and exploring trends in comment growth and gender-wise variation. Findings reveal that the Union Budget 2023-24 video garnered significant attention and positive reception, demonstrating the importance of engaging content despite longer durations. Viewer comments for this budget highlight substantial engagement, reflecting its relevance. Sentiment analysis uncovers frequent mentions of government policies, taxation, and economic figures, indicating public interest in financial and policy-related aspects. Overall, the sentiment expressed in both videos and comments is p

Downloads

Published

2025-07-30

Issue

Vol. 13 No. 1 (2025): Trends in Information Management

Section

Articles