A Machine Learning Approach to Sentiment Analysis of YouTube
Saurav Yadav
Scholar, Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
Gautam Sharma
Scholar, Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
Shailendra Kumar Verma
Scholar, Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
Maneesh Mishra
Scholar, Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
Neha Anand
Assistant Professor, Department of Computer Science & Engineering, Shri Ramswaroop Memorial University, Deva Road, Lucknow
📌 DOI: https://doi.org/10.63920/tjths.52028
🔑 Keywords: W-OS, Artificial mainstream, Mainstream, Deep Learning, Statistical data
📅 Publication Date: 17 April 2026
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This work is licensed under a Creative Commons Attribution 4.0 International License
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Abstract:
In an era where technology seems ubiquitous and everyone around seems to be have a access to it, there is a hidden reality beneath the surface, the “digital device gap” especially in India, where if you were to look at the statistical data of mobile owners and compare it against the household computer ownership, there is a sharp contrast where the former is almost a 95% and the latter is well under 10%, This Digital disparity of hardware ownership might not look like a problem at first but this disparity breed generations of a passive content consumer rather than a much needed people that could innovate and create digital products. The proposal of this paper - creating an OS that could be accessed just like any other app- is not a novel idea; versions of it exist, but what they fundamentally lack is the understanding of the needs of the end user who is the target demographic of their services. The current versions lack Speed, Efficiency and the productivity output that is required to bring this accessible OS to mainstream,This paper propose a evolved version of it “Website-as-OS (W-OS)” : a Client side,privacy -oriented web operating system built with React and Javascript to address the discrepancy of the what current-service provider provide and what the user needs, turning their browser into a complete decentralized workstation regardless of what device they are on.
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📖 How to Cite
Saurav Y., Gautam S., Shailendra Kumar V., Maneesh M., Neha A. (2026). A Machine Learning Approach to Sentiment Analysis of YouTube. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52028
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References
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