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Apply Datastreamer Violence Classifier to Bright Data X(Twitter)
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 Bright Data X(Twitter)
Extract data about posts, profiles, likes, and more from X(Twitter).
Quickly apply Datastreamer Violence Classifier to Bright Data X(Twitter) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data X(Twitter)
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
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
Step 3
That's it! You have just connected Datastreamer Violence Classifier and Bright Data X(Twitter)
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.