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Apply Datastreamer Dominant Location Classifier to Webz Blogs
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About Datastreamer Dominant Location Classifier
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.
About Webz Blogs
Cover hundreds of thousands of blog articles in multiple languages going back to 2008, Webz Blogs dataset allows you to feed your machines with fresh blog data, powered unparalleled latency and adaptive crawling.
Quickly apply Datastreamer Dominant Location Classifier to Webz Blogs with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Webz Blogs
Web data is the foundation of any pipeline. You can leverage a wide range of data sources to power your pipelines—whether it's data from our partner network, your internal systems, or any publicly available web data.
Step 2
Add Datastreamer Dominant Location Classifier with an Operation
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Step 3
That's it! You have just connected Datastreamer Dominant Location Classifier and Webz Blogs
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.