outerbounds/hacker-news-sentiment
Metaflow flows for analyzing topics and sentiments in Hacker News
This project helps you understand the prevailing mood and key discussion points on Hacker News. It takes the text of Hacker News posts and comments and analyzes them to identify the main topics being discussed and whether the sentiment around those topics is positive, negative, or neutral. Anyone interested in public opinion on technology, startups, and current events, such as market researchers, tech journalists, or community managers, would find this useful.
No commits in the last 6 months.
Use this if you want to quickly grasp what people are talking about and how they feel about various subjects on Hacker News.
Not ideal if you need to analyze sentiment from private forums or other social media platforms beyond Hacker News.
Stars
22
Forks
2
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Aug 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/outerbounds/hacker-news-sentiment"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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