news-please - an integrated web crawler and information extractor for news that just works
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
Lightweight scraper for Google News
A fork of Dragnet that also extract author, headline, date, keywords from context, as well as built in metadata extraction all in one package
Python package for API access to news articles and events in the Event Registry
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.
Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl...
A news aggregator in python, that focuses primarily on business and market news sources.
Reddit bot to preview and post hyperlinks as comments
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Ten Thousand German News Articles Dataset for Topic Classification
Natural Language Processing of Chicago news articles
Dataset and scripts for scraping the news articles from popular sources along with the summary of the article.
π Q-Learning and Sentiment Analysis Stock Trade Bot Powered by Alpaca
A repository of my web-scraping projects
π Ionic-Angular app to fetch news articles from a REST API using Typescript interfaces to define the expected structure of the json objects returned & http service providers. Custom pipes used to modify API news article titles, contents and convert the Universal Time Constant (UTC) date string. Dark mode, Offline Storage of favourite articles & ...
A classifier that distinguishes political from non-political news articles.
π A Python web app that analyzes popular trends of subreddits with data pulled from Reddit and news articles.
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