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Apply Datastreamer Emotion Detection Classifier to Open Measures Bluesky
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Emotion Detection Classifier
Detect emotion within content, such as fear, happiness, sadness, disgust, etc. 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 Bluesky
Collect and extract user profiles and posts on Bluesky.
Quickly apply Datastreamer Emotion Detection Classifier to Open Measures Bluesky with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Bluesky
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 Emotion Detection Classifier with an Operation
Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.
Step 3
That's it! You have just connected Datastreamer Emotion Detection Classifier and Open Measures Bluesky
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.