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Apply Datastreamer Hard News Classifier to The Social Proxy Social Media Datasets
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How Datastreamer works
Quickly apply Datastreamer Hard News Classifier to The Social Proxy Social Media Datasets with a Datstreamer Pipeline.
Quickly connect Datastreamer Hard News Classifier and The Social Proxy Social Media Datasets with a Datstreamer Pipeline.
Step 1
Start your Pipeline with The Social Proxy Social Media Datasets
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Datastreamer Hard News Classifier with an Operation
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Datastreamer Hard News Classifier and The Social Proxy Social Media Datasets
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
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 Social Media Datasets
Find out who talks about what, where and when. Turn social media data into actionable insights for real-time decision making.
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