Textual Data Analysis of ‘Mann Ki Baat’ Show
نویسندگان
چکیده
Background: The present research gives insights about Textual Data analytics of “Mann Ki Baat” – a monthly radio programme hosted by Shri. Narendra Modi, the Prime Minister India on All Radio. Using techniques textual data analytics, an analytical framework is designed in this paper. Methods: outline applied to corpus twelve (12) episodes Mann Baat 2.0 (March 2020 February 2021, after nationwide lockdown India) collected from PMIndia’s official website and was studied detail. Recurrently spoken words, diversity topics covered, Topics Correlations, Sentiment Analysis, Hierarchical Clustering were determined analyzed. Further, word clouds for each episode also generated. Findings: new approach application under traditional “topic modeling” 2.0. Novelty applications: Additionally, attempt extract themes using statistical modeling deliberated popular Keywords: Analytics Correlations; Analysis; Clustering; Word Clouds;
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ژورنال
عنوان ژورنال: Indian journal of science and technology
سال: 2022
ISSN: ['0974-5645', '0974-6846']
DOI: https://doi.org/10.17485/ijst/v15i37.848