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Enrich Webz News with Datastreamer Hard News Classifier
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About Webz News
Cover a vast collection of relevant news sources in over 170 languages, with more than 2.5 million news articles added daily and archives dating back to 2008 , Webz News dataset delivers near real-time results for comprehensive insights., and empowers you to analyze trends , track narratives, and uncover meaningful insights from global news coverage.
About Datastreamer Hard News Classifier
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.
Quickly enrich Webz News with Datastreamer Hard News Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Webz News
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Step 2
Add Datastreamer Hard News Classifier to enrich
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Step 3
That's it! You have just connected Webz News and Datastreamer Hard News Classifier
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.