news-please - an integrated web crawler and information extractor for news that just works
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Updated
Jul 6, 2024 - Python
news-please - an integrated web crawler and information extractor for news that just works
Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.
This project is an auto-filling text program implemented in Python using N-gram models. The program suggests the next word based on the input given by the user. It utilizes N-gram models, specifically Trigrams and Bigrams, to generate predictions.
A classifier that distinguishes political from non-political news articles.
News Scraper App using Python and Beautiful Soup
Python package for API access to news articles and events in the Event Registry
A news aggregator in python, that focuses primarily on business and market news sources.
A News Article Collection Library
📈 Q-Learning and Sentiment Analysis Stock Trade Bot Powered by Alpaca
대량의 네이버 뉴스 기사를 수집하는 라이브러리입니다.
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Sentimentext is a browser extension that automatically warns users about those news articles that linguistically resemble the style of a fake news.
Converts TXT files exported from Retriever Mediearkivet into JSON files with structured metadata
A website designed to emotionally curate your news feed
Scrape various German news sites for articles and comments. Store them in a DB and analyse both on their sentiment with various NLP solutions. The result can be viewed on a Grafana dashboard.
Add a description, image, and links to the news-articles topic page so that developers can more easily learn about it.
To associate your repository with the news-articles topic, visit your repo's landing page and select "manage topics."