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Apply Datastreamer User Behaviour Classifier to Open Measures TikTok
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer User Behaviour Classifier
Detect and classify the behaviours that a user is describing. In the detection of threats, product returns, activities, and other behaviours; the terms and keywords used to describe are not clear and specific. 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.
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.
Quickly apply Datastreamer User Behaviour Classifier to Open Measures TikTok with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures TikTok
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Step 2
Add Datastreamer User Behaviour Classifier with an Operation
Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.
Step 3
That's it! You have just connected Datastreamer User Behaviour Classifier and Open Measures TikTok
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.