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Apply Datastreamer Violence Classifier to Open Measures Telegram
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 Telegram
A specialized Telegram product focused on collecting users and channel content associated with the Russian state, Russian-affiliated propaganda, white nationalist groups, and European far-right organizations.
Quickly apply Datastreamer Violence Classifier to Open Measures Telegram with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Telegram
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
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 Telegram
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.