Paper Title: A Sentiment Analysis Case Study to Understand How A YouTuber Can Derive Decision Insights From Comments This was our SET (Science Engineering and Technology) Project for the seventh semester of our Integrated MSc. programme on Computational Statistics and Data Analytics in VIT, Vellore. For this we are basically supposed to make a project under a faculty guide in the format of a Research Project and present it to a body of external faculties in the 'SET conference' conducted every year in VIT. For this project, I along with Pavitra and Baibhav worked on a Sentiment Analysis Case Study on two Youtube Comments dataset guided by Dr. SRV Prasad Bhuvanagiri Sir. The name of the project was given: "A Sentiment Analysis Case Study to Understand How A YouTuber Can Derive Decision Insights From Comments". You could find the Research Paper as a pdf document in the repository.
INSTRUCTIONS:
- 'Chandreyi_Pavitra_Final.pdf' is the reserch paper.
- '220516 new pdf.pdf' is the pdf converted document of the Powerpoint Presentation used to present in the conference.
- 'nutshell_comments_extraction_code.py' and 'sucharita_comments_extraction_code.py' are the two python codes that were used to extract a random subset of the comments of the two videos
- 'Nutshell_Model.ipynb' and 'Sucharita_Model.ipynb' are the two model codes customized according to the two datasets used, that give the final analysis to the data.
For more elaborate description, refer to the research paper. The whole project can be understood easily by reading that, as it is written in plain english.