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Apply Datastreamer User Sentiment Classifier to Bright Data Yelp
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 Bright Data Yelp
Extract data about business profiles, customer reviews, and ratings from yelp.com.
Quickly apply Datastreamer User Sentiment Classifier to Bright Data Yelp with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Yelp
Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.
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 Bright Data Yelp
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.