Abstract
For as long as we can remember, when we purchase any item, the first thing we tend to do is look for an opinion from the salesman, friends, or even previous consumers, and in the age of technology, it has become even easier for one to gauge out a review from the comments under a product. This is Sentiment Analysis. It is very widely used for trend analysis for companies to see if their products are selling or not. It is used in customer service and during elections to see which candidate is more favourable. That is the case for YouTube videos too. Usually, the most viewed videos show up at the top and the lesser viewed videos at the bottom. In this paper, we have set out to find the sentiment of the comments of top five videos (based on views) under the recipe for ‘Rasbora’, a Bengali delicacy, to see if the most viewed video is actually the one with the most positive sentiment and to discuss what factors play a part in a video gaining more views and the problems faced in analysing the sentiment of the comments under a YouTube video.
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Acknowledgements
We express our humble gratitude to C. Muthamizhchelvan, Vice Chancellor (I/C), SRM Institute of Science and Technology, for the facilities extended for the project work and his continued support.
We wish to thank Dr. B. Amutha, Professor and Head, Department of Computer Science and Engineering, SRM Institute of Science and Technology, for her valuable suggestions and encouragement throughout the period of the project work.
We register our immeasurable thanks to our Faculty Advisor, Dr.M.Vimala Devi, Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, for leading and helping us to complete our course.
Our inexpressible respect and thanks to my guide, R Anita, Assistant Professor,
Department of Computer Science and Engineering, SRM Institute of Science and Technology, for providing us an opportunity to pursue our project under her mentorship. She provided us the freedom and support to explore the research topics of my interest. Her passion for solving real problems and making a difference in the world has always been inspiring.
We sincerely thank the staff and students of the Computer Science and Engineering Department, SRM Institute of Science and Technology, for their help during my research. Finally, we would like to thank my parents, our family members, and our friends for their unconditional love, constant support, and encouragement.
A Amrita Murthy
Aman Abhay Choudhary
R Anita
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Murthy, A.A., Choudhary, A.A., Anita, R. (2022). Ranking YouTube Videos Based on Comments Sentiment. In: Jacob, I.J., Kolandapalayam Shanmugam, S., Bestak, R. (eds) Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6460-1_40
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DOI: https://doi.org/10.1007/978-981-16-6460-1_40
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