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Apply Datastreamer User Behaviour Classifier to Bright Data X(Twitter)
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer User Behaviour Classifier
Detect and classify the behaviours that a user is describing. In the detection of threats, product returns, activities, and other behaviours; the terms and keywords used to describe are not clear and specific. 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 User Behaviour Classifier to Bright Data X(Twitter) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data X(Twitter)
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Add Datastreamer User Behaviour Classifier with an Operation
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Datastreamer User Behaviour Classifier and Bright Data X(Twitter)
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.