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Apply Datastreamer User Behaviour Classifier to Bright Data Trustpilot
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 Trustpilot
Collect and extract Trustpilot business reviews using URLs. Returns matching business reviews that include the review title, rating, author, position of the author, and more.
Quickly apply Datastreamer User Behaviour Classifier to Bright Data Trustpilot with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Trustpilot
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
Step 2
Add Datastreamer User Behaviour Classifier with an Operation
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Datastreamer User Behaviour Classifier and Bright Data Trustpilot
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.