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Enrich Webz News with Tisane Problematic Content Detection
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly enrich Webz News with Tisane Problematic Content Detection with a Datstreamer Pipeline.
Quickly connect Webz News and Tisane Problematic Content Detection with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Webz News
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 Tisane Problematic Content Detection to enrich
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 Webz News and Tisane Problematic Content Detection
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.
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 Tisane Problematic Content Detection
Automatic detection of problematic content in text, including attempts to lure users off the platform and establish content, profanities, mental issues and suicidal ideation, and more. Tisane problematic content detection supports 35+ languages, including slang and obfuscated text (adversarial text manipulation).
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