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Enrich Open Measures Parler with Datastreamer Spam Detection Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Open Measures Parler
Collect and extract posts, comments and user profiles on Parler.
About Datastreamer Spam Detection Classifier
Detect and flag likely spam or fraudulent 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 Parler with Datastreamer Spam Detection Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Parler
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Datastreamer Spam Detection Classifier to enrich
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Step 3
That's it! You have just connected Open Measures Parler and Datastreamer Spam Detection Classifier
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.