Sentiment Analysis of Speeches using VADER, Sentiment Intensity Analyzer, and TextBlob

In today’s world the words of a leader are the most valuable entity for his/her followers, and when the leader is a prime minister of one of the largest democratic countries then the value of his/her words is more valuable and important. In this research paper researchers have analyzed the data in the form of sentiments of the two most popular prime ministers of India Dr. Manmohan Singh and Mr. Narendra Modi. By this analysis, researchers can check the impact of their words on the people of India. For analyzing the sentiments researchers have used tools such as TextBlob, VADER, and Sentiment Intensity Analyzer, and for checking the occurrence frequency of words word cloud is used.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/aece62803.2024.10911685
Citations
1
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.35
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Sentiment Analysis of Speeches using VADER, Sentiment Intensity Analyzer, and TextBlob

Ankush Joshi, Vikash Kumar, Anuj Kumar, Deepika Joshi et al.
1 citations
Sentiment Analysis and Opinion Mining
0.35
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Sentiment Analysis of Speeches using VADER, Sentiment Intensity Analyzer, and TextBlob

Ankush Joshi, Vikash Kumar, Anuj Kumar, Deepika Joshi, Naman Chauhan, Ritik Kumar Singh
article en
1 citations

Abstract

In today’s world the words of a leader are the most valuable entity for his/her followers, and when the leader is a prime minister of one of the largest democratic countries then the value of his/her words is more valuable and important. In this research paper researchers have analyzed the data in the form of sentiments of the two most popular prime ministers of India Dr. Manmohan Singh and Mr. Narendra Modi. By this analysis, researchers can check the impact of their words on the people of India. For analyzing the sentiments researchers have used tools such as TextBlob, VADER, and Sentiment Intensity Analyzer, and for checking the occurrence frequency of words word cloud is used.

Openalex Percentile: Top 29%
Sentiment Analysis and Opinion Mining
0.35
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Sentiment Analysis of Speeches using VADER, Sentiment Intensity Analyzer, and TextBlob — Ankush Joshi, Vikash Kumar, et al. · (2024) | TGRS Research Map | TGRS