Viewer Perception of Hindi News Channels: Optimization and Prediction Strategies

Authors

  • Adarsh Kumar ,Vandana Yadav

Keywords:

Hindi news channels, viewer perception, predictive analytics, optimization techniques, machine learning, natural language processing

Abstract

This study investigates the approaches and prediction models used to assess audience opinions of Hindi news
channels in the Indian media business. It employs statistical analysis,

References

Hughes, Helen MacGill. News and the human interest story. Routledge, 2017.

Chadha, Kalyani. "The Indian news media industry: Structural trends and journalistic implications." Global

Media and Communication 13, no. 2 (2017): 139-156.

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Published

2024-08-18

How to Cite

Adarsh Kumar ,Vandana Yadav. (2024). Viewer Perception of Hindi News Channels: Optimization and Prediction Strategies . Journal of Computational Analysis and Applications (JoCAAA), 33(07), 1911–1919. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/2372

Issue

Vol. 33 No. 07 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.