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Enrich Webz Reviews with Datastreamer Abusive Language Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Webz Reviews
Cover thousands of review in multiple languages from all over the globe, Webz Reviews dataset lets your machine listen to evert reviewer, everywhere.
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 Webz Reviews with Datastreamer Abusive Language Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Webz Reviews
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
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 Webz Reviews and Datastreamer Abusive Language Classifier
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.