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Sentiment analysis of Indian PM’s “Mann Ki Baat”

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Abstract

Sentiment Analysis is a field of Natural Language Processing that helps in understanding human emotions, views and thoughts. Such analysis is of much importance in social campaigns, or where a target audience is vast. Therefore, we have evaluated the success of different episodes of ‘Mann Ki Baat’ started in 2014 by the Indian Prime Minister. This has been done in two steps. First, we have performed sentiment analysis of written episodes of this radio show. Secondly, we have analyzed tweets of public opinions and views regarding the topics discussed in the various episodes of this show on Twitter. The results demonstrate that in many areas this show has positively impacted Indian citizens. Also, our approach supported this result with an acceptable accuracy of 85.4%.

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Notes

  1. 1.

    https://en.m.wikipedia.org/wiki/Mann_Ki_Baat.

  2. 2.

    http://www.pmindia.gov.in/.

  3. 3.

    https://www.mygov.in/talk/mann-ki-baat-prime-minister%E2%80%99s-radio-programme-may-27-2018/.

  4. 4.

    https://www.pmindia.gov.in/hi/news_updates/प्रधानमंत्री-का-आकाशवाण-14/.

  5. 5.

    https://www.pmindia.gov.in/en/news_updates/pms-mann-ki-baat-programme-on-all-india-radio-14/.

  6. 6.

    http://sivareddy.in/downloads.

  7. 7.

    https://www.nltk.org/api/nltk.tokenize.html.

  8. 8.

    http://arxiv.org/abs/1103.2903.

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Correspondence to Kanika Garg.

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Garg, K. Sentiment analysis of Indian PM’s “Mann Ki Baat”. Int. j. inf. tecnol. 12, 37–48 (2020). https://doi.org/10.1007/s41870-019-00324-8

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Keywords

  • Mann Ki Baat
  • Sentiment analysis
  • #MannKiBaat
  • Hindi
  • Social campaign