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Enrich Open Measures Poal with Datastreamer Abusive Language 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 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.
Quickly enrich Open Measures Poal with Datastreamer Abusive Language Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Poal
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Datastreamer Abusive Language Classifier to enrich
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Step 3
That's it! You have just connected Open Measures Poal and Datastreamer Abusive Language Classifier
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.