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Apply Datastreamer User Sentiment Classifier to Bright Data TrustRadius
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 TrustRadius
Collect and extract TrustRadius product reviews using URLs. Returns matching product reviews that include the reviews content, author, rating and more.
Quickly apply Datastreamer User Sentiment Classifier to Bright Data TrustRadius with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data TrustRadius
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 User 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 User Sentiment Classifier and Bright Data TrustRadius
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.