ahmedbesbes/How-to-mine-newsfeed-data-and-extract-interactive-insights-in-Python
A practical guide to topic mining and interactive visualizations
This project helps anyone who needs to understand large volumes of news content. It takes raw newsfeed data from various sources, processes the text, and automatically identifies key themes and topics. The output is an interactive visualization that shows clusters of related news, allowing for quick analysis of trends and narratives without manual reading. This is ideal for market researchers, journalists, or content strategists.
No commits in the last 6 months.
Use this if you need to quickly make sense of many news articles and identify the main topics and their relationships visually.
Not ideal if you're looking for a production-ready application rather than a guide on how to perform the analysis.
Stars
74
Forks
48
Language
HTML
License
—
Category
Last pushed
Apr 29, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/ahmedbesbes/How-to-mine-newsfeed-data-and-extract-interactive-insights-in-Python"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
flairNLP/fundus
A very simple news crawler with a funny name
fhamborg/news-please
news-please - an integrated web crawler and information extractor for news that just works
affjljoo3581/canrevan
대량의 네이버 뉴스 기사를 수집하는 라이브러리입니다.
FreeDiscovery/FreeDiscovery
Web Service for E-Discovery Analytics
tirthajyoti/Web-Database-Analytics
Web scrapping and related analytics using Python tools