sachin-bisht/YouTube-Sentiment-Analysis
(UNMAINTAINED)Fetch comments from the given video and determine sentiment towards the video is positive or negative
This tool helps content creators, marketers, or researchers understand public opinion on YouTube videos. It takes a YouTube video URL, gathers all its comments, and then determines whether the overall sentiment expressed in those comments is positive or negative. It also generates a word cloud to visualize the most frequently used words.
No commits in the last 6 months.
Use this if you need a quick way to gauge the general sentiment of comments on a specific YouTube video and see common themes in discussions.
Not ideal if you need detailed, nuanced sentiment analysis beyond simple positive/negative, or if you require analysis across many videos simultaneously.
Stars
9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Oct 19, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/sachin-bisht/YouTube-Sentiment-Analysis"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
Altimis/Scweet
A simple and unlimited twitter scraper : scrape tweets, likes, retweets, following, followers,...
lexiforest/curl_cffi
Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser...
plabayo/rama
modular service framework to move and transform network packets
scrapinghub/spidermon
Scrapy Extension for monitoring spiders execution.