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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.
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.