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A text-based classifier that is designed to distinguish between factual, authoritative news from opinion-based content. It identifies hard news by focusing on fact-based and timely events, while soft news typically covers opinion or less critical topics. We can apply this component on any source of English News.
Twingly delivers over 3 million news articles per day from 170,000 active news sources through their News API
How Datastreamer works
Quickly apply Datastreamer Hard News Classifier to Twingly News with a Datstreamer Pipeline.
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