Become a sponsor to Felix Hamborg
I author and maintain news-please, a web crawler and information extractor for online news articles. news-please is being used by practitioners and researchers in various sciences as well as in the industry. Currently, my main goals are to improve the usability of news-please, re-enable database support, and build a strong community of both developers and users around the system.
A little background information: news-please has become a project that I try advance in my leisure time, but it was initially launched during my work as a Ph.D. student. The other projects shown on my GitHub profile page are mostly in the realm of media bias identification, which is my primary research topic during my Ph.D. studies.
Featured work
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fhamborg/news-please
news-please - an integrated web crawler and information extractor for news that just works
Python 2,099 -
fhamborg/Giveme5W1H
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
HTML 512 -
fhamborg/NewsBirdServer
Matrix-based News Aggregation to Explore Media Bias
Java 20 -
fhamborg/NewsWCL50
The first, open access evaluation dataset for methods to identify bias by word choice and labeling