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Enrich Open Measures TikTok with Datastreamer User Sentiment Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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 User Sentiment Classifier
Detect the user sentiment and cause of sentiment within content. It is able to process content in over 200+ languages. 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.
Quickly enrich Open Measures TikTok with Datastreamer User Sentiment Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures TikTok
For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.
Step 2
Add Datastreamer User Sentiment Classifier to enrich
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 Open Measures TikTok and Datastreamer User Sentiment Classifier
Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.