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Apply Datastreamer User Behaviour Classifier to Open Measures Odnoklassniki
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 Open Measures Odnoklassniki
Open Measures collection on OK(Odnoklassniki) began by aggregating around 5,000 OK group URLs that appeared across the existing collections and fed these into the crawler. The crawler then spiders across these groups by collecting posts, comments and group members.
Quickly apply Datastreamer User Behaviour Classifier to Open Measures Odnoklassniki with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Odnoklassniki
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Step 2
Add Datastreamer User Behaviour Classifier with an Operation
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 Datastreamer User Behaviour Classifier and Open Measures Odnoklassniki
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.