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Add Datastreamer components to your data stack and explore its full capabilities

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We’re always happy with any other questions you might have. Send us an email at [email protected]

Apply Datastreamer Product Detection Classifier to Twingly Reviews

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Datastreamer Product Detection Classifier

Detect products within content across 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.

How Datastreamer works

Quickly apply Datastreamer Product Detection Classifier to Twingly Reviews with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Twingly Reviews

Web data is the foundation of any pipeline. You can leverage a wide range of data sources to power your pipelines—whether it's data from our partner network, your internal systems, or any publicly available web data.

Step 2

Add Datastreamer Product Detection 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 Product Detection Classifier and Twingly Reviews

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.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!