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Apply Datastreamer User Sentiment Classifier to Open Measures Truth Social
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About Open Measures Truth Social
A targeted Truth Social crawling product focused on collecting all posts, comments and user profiles on Truth Social.
Quickly apply Datastreamer User Sentiment Classifier to Open Measures Truth Social with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Truth Social
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Step 2
Add Datastreamer User Sentiment Classifier with an Operation
Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.
Step 3
That's it! You have just connected Datastreamer User Sentiment Classifier and Open Measures Truth Social
Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.