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Apply Datastreamer User Sentiment Classifier to Twingly Reviews
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 Twingly Reviews
Twingly captures our 15 million reviews per month from all corners of the world.
Quickly apply Datastreamer User Sentiment Classifier to Twingly Reviews with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly Reviews
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Datastreamer User Sentiment Classifier with an Operation
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Step 3
That's it! You have just connected Datastreamer User Sentiment Classifier and Twingly Reviews
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.