news-please. news-please - an integrated web crawler and information extractor for news that just works
2.5kGiveme5W1H. Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
532NewsMTSC. 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.
156NewsWCL50. The first, open access evaluation dataset for methods to identify bias by word choice and labeling
26NewsBirdServer. Matrix-based News Aggregation to Explore Media Bias
20Giveme5W. Extraction of the five journalistic W-questions (5W) from news articles
19newstsc. Python
6mediacommtools. Tools/resources for journalism, media, communication, computational social science
6Political-News-Filter. A classifier that distinguishes political from non-political news articles.
5NewsFrames. Python
4empath-client. analyze text with empath
4NewsBirdHtml. JavaScript
3sentiment4news. R
3se19hyperpartisanbvs. SemEval 2019 Hyperpartisan News Detection - team Bertha von Suttner contribution
2hoaxy-backend. Backend component for Hoaxy, a tool to visualize the spread of claims and fact checking
2hoaxy-frontend. Frontend component for Hoaxy, a tool to visualize the spread of claims and fact checking
2domain-adapted-atsc. code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"
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