sathviksai002 / Sentimental-Analysis-of-User-Comments-On-YouTube-Video Public

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The project is about Sentimental Analysis on YouTube Comments. Our Model analyses the comments weather it is positive, negative, or neutral, and give a feedback on the YouTube video. We are using two models to analysis the sentiment. i.e. VADER and TEXTBLOB.

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
Sentimental-Analysis-of-User-Comments-On-YouTube-Video		Sentimental-Analysis-of-User-Comments-On-YouTube-Video
.gitignore		.gitignore
8000_dataset.csv		8000_dataset.csv
LICENSE.md		LICENSE.md
README.md		README.md
SENTIMENTAL_ANALYSIS_OF_YOUTUBE_COMMENTS_review_0.pptx		SENTIMENTAL_ANALYSIS_OF_YOUTUBE_COMMENTS_review_0.pptx
SENTIMENTAL_ANALYSIS_OF_YOUTUBE_COMMENTS_review_1.pptx		SENTIMENTAL_ANALYSIS_OF_YOUTUBE_COMMENTS_review_1.pptx
SENTIMENTAL_ANALYSIS_OF_YOUTUBE_COMMENTS_review_2.pptx		SENTIMENTAL_ANALYSIS_OF_YOUTUBE_COMMENTS_review_2.pptx
Scraping_Comments.py		Scraping_Comments.py
Sentimentanalysis.py		Sentimentanalysis.py
comments_scrape.py		comments_scrape.py
scraping_youtube_comments_without_replies.gs		scraping_youtube_comments_without_replies.gs