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Enrich Open Measures Fediverse with Datastreamer Dialect Detection Model
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 Dialect Detection Model
Detect dialects of language used within content for 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 Dialect Detection Model with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Fediverse
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 Dialect Detection Model to enrich
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Open Measures Fediverse and Datastreamer Dialect Detection Model
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.