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Enrich Open Measures Fediverse with Datastreamer Dominant Location Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly enrich Open Measures Fediverse with Datastreamer Dominant Location Classifier with a Datstreamer Pipeline.
Quickly connect Open Measures Fediverse and Datastreamer Dominant Location Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Fediverse
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 Dominant Location Classifier to enrich
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Open Measures Fediverse and Datastreamer Dominant Location Classifier
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
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 Dominant Location Classifier
Description
A specialized text classifier that operates on long-form content. It is meant to identify only one location out of all the pre-extracted mentioned locations in the long-form content and reports it as the dominant_location based on their frequency in the input document.
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