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Apply Datastreamer Violence Classifier to Open Measures Odnoklassniki
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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 Odnoklassniki
Open Measures collection on OK(Odnoklassniki) began by aggregating around 5,000 OK group URLs that appeared across the existing collections and fed these into the crawler. The crawler then spiders across these groups by collecting posts, comments and group members.
Quickly apply Datastreamer Violence Classifier to Open Measures Odnoklassniki with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Odnoklassniki
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 Odnoklassniki
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.