"Mann Ki Baat Unveiled: A Deep Dive through Text Analysis"

Abstract

Sentiment analysis is an area of the processing of natural language that facilitates comprehension of human feelings, opinions, and thoughts. Such analysis is crucial for social campaigns or situations with large target audiences. Thus, we have assessed the effectiveness of the various "Mann Ki Baat" episodes that the Indian Prime Minister launched in 2014. The situation has changed as a result of the prime minister of India using All India Radio, or AIR, as a popular communication medium. Public broadcasting has been revitalized by it thanks to the show "Mann Ki Baat (MKB)". Prime Minister Narendra Modi's radio program "MKB" is renowned for expressing the concerns and problems of the majority and serving as a platform for the PM to speak with the general public. In contrast to Twitter and Facebook, the Indian prime minister is attempting to engage directly with the country through this monthly radio program. However, in order to reach and assist the poorest of the poor, he required the majority of the modest radio in the most remote region of India. The judgment has benefited from his acute awareness of how radio impacted society. More than 80 episodes have aired since 2014, and both the amount of content and the level of personal connection to the viewers keep increasing. Thus, it is imperative to examine this monthly radio show as an effective means of fostering a relationship among 'the mass' and the Prime Minister with respect to MKB broadcasts. The goal of this work is to perform an MKB program sentiment analysis. Through a constructed and constantly collected method, the content of 24 selected broadcasts of the MKB program was chosen for analysis from October 2014 to June 2020. This study's content analysis could be useful in estimating and comprehending the results of these discussed topics and problems in MKB. It also looked at how the administration's ideas are exposed and how the Mann Ki Baat initiative helps fund open telecom media.