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Apply Datastreamer Hard News Classifier to The Social Proxy Sports Datasets
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About The Social Proxy Sports Datasets
Obtain real-time information from competitive sport leagues.
Quickly apply Datastreamer Hard News Classifier to The Social Proxy Sports Datasets with a Datstreamer Pipeline.
Step 1
Start your Pipeline with The Social Proxy Sports Datasets
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
Step 2
Add Datastreamer Hard News Classifier with an Operation
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Step 3
That's it! You have just connected Datastreamer Hard News Classifier and The Social Proxy Sports Datasets
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.