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Apply Datastreamer Sentiment Classifier to Open Measures Fediverse
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Sentiment Classifier
Detect sentiment in content, detecting and classifying into positive, neutral, or negative.
About Open Measures Fediverse
Collect from a subset of instances that Open Measures users have identified as dangerous or worth investigating. From there, Open Measures crawl these instances for posts and user profiles, while identifying the Fediverse site where the content was posted.
Quickly apply Datastreamer Sentiment Classifier to Open Measures Fediverse with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Fediverse
Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.
Step 2
Add Datastreamer Sentiment Classifier with an Operation
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Datastreamer Sentiment Classifier and Open Measures Fediverse
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.