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Apply Datastreamer Abusive Language Classifier to Bright Data X(Twitter)
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Abusive Language Classifier
Detect abusive language in forums, chats, social, and other unstructured content in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
About Bright Data X(Twitter)
Extract data about posts, profiles, likes, and more from X(Twitter).
Quickly apply Datastreamer Abusive Language Classifier to Bright Data X(Twitter) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data X(Twitter)
For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.
Step 2
Add Datastreamer Abusive Language Classifier with an Operation
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Step 3
That's it! You have just connected Datastreamer Abusive Language Classifier and Bright Data X(Twitter)
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.