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Apply Datastreamer Location Inference Enrichment to Open Measures Fediverse
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Location Inference Enrichment
Location Inference Enrichment work to infer the location of the author of a piece of text content, by assessment and predicting on a number of parameters in the data. Datastreamer Location Inference Enrichment model cover 65+ country and 8+ languages.
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.
Quickly apply Datastreamer Location Inference Enrichment to Open Measures Fediverse with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Fediverse
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Add Datastreamer Location Inference Enrichment with an Operation
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 Datastreamer Location Inference Enrichment and Open Measures Fediverse
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.