AtharvaMutsaddi/Reddit-Post-Comments-Sentiment-Analysis-with-Webscraping
A web application that allows users to scrape comments from a Reddit post, perform sentiment analysis on them, and provide data analytics in the form of bar graphs and pie charts. The app aims to provide insights into the sentiment distribution of comments and offer a filtered view of comments based on their sentiment.
This web application helps you understand the overall public opinion and emotional tone within a specific Reddit discussion. You input the URL of a Reddit post, and it outputs visual summaries like bar graphs and pie charts showing the distribution of positive, negative, and neutral sentiments among the comments. This tool is ideal for community managers, marketers, or anyone interested in quickly gauging sentiment on a particular topic discussed on Reddit.
No commits in the last 6 months.
Use this if you need to quickly understand the general sentiment of comments on a Reddit post without manually reading through hundreds of replies.
Not ideal if you need deep, nuanced qualitative analysis of individual comments or highly specific categorization beyond basic sentiment.
Stars
22
Forks
—
Language
Python
License
—
Category
Last pushed
Jul 04, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/AtharvaMutsaddi/Reddit-Post-Comments-Sentiment-Analysis-with-Webscraping"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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