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Apply Datastreamer Violence Classifier to Open Measures TikTok

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Datastreamer Violence Classifier

Detect types of violence from an English short-form content. The output of the model would be one of these labels: 'No violence', 'Threat of physical violence', 'Reported violence' with a confidence score ranging from 0 to 1.

About Open Measures TikTok

A targeted TikTok crawling product based on a hundreds of seed hashtags with connections to harmful content. Data field crawled include user profiles and posts, and comments.

How Datastreamer works

Quickly apply Datastreamer Violence Classifier to Open Measures TikTok with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Open Measures TikTok

Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.

Step 2

Add Datastreamer Violence Classifier with an Operation

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  Datastreamer Violence Classifier and Open Measures TikTok

Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!