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Enrich Open Measures Poal with Datastreamer User Behaviour Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Open Measures Poal
Collect and extract comments, video metadata and user profiles on Poal.
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.
Quickly enrich Open Measures Poal with Datastreamer User Behaviour Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Poal
Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.
Step 2
Add Datastreamer User Behaviour Classifier to enrich
Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.
Step 3
That's it! You have just connected Open Measures Poal and Datastreamer User Behaviour Classifier
Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.