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Enrich Open Measures Fediverse with Datastreamer Abusive Language Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Open Measures Fediverse
Collect from a subset of instances that Open Measures users have identified as dangerous or worth investigating. From there, Open Measures crawl these instances for posts and user profiles, while identifying the Fediverse site where the content was posted.
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 Fediverse with Datastreamer Abusive Language Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Fediverse
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
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Open Measures Fediverse and Datastreamer Abusive Language Classifier
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.