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Enrich Open Measures TikTok with Datastreamer Dominant Location Classifier
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About Open Measures TikTok
A targeted TikTok crawling product based on a hundreds of seed hashtags with connections to harmful content. Data field crawled include user profiles and posts, and comments.
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.
Quickly enrich Open Measures TikTok with Datastreamer Dominant Location Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures TikTok
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 Dominant Location Classifier to enrich
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Step 3
That's it! You have just connected Open Measures TikTok and Datastreamer Dominant Location Classifier
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.