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Apply Tisane Problematic Content Detection to Open Measures RuTube
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How Datastreamer works
Quickly apply Tisane Problematic Content Detection to Open Measures RuTube with a Datstreamer Pipeline.
Quickly connect Tisane Problematic Content Detection and Open Measures RuTube with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures RuTube
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 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 Tisane Problematic Content Detection and Open Measures RuTube
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.
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).
About Open Measures RuTube
Collect and extract video metadata and comments based on a seed set of video links.
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