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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 Dialect Detection Model to Vetric Social Media Advertisements

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

About Datastreamer Dialect Detection Model

Detect dialects of language used within content for 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 Vetric Social Media Advertisements

Collect ad info and advertiser info from Social Media platform, by adding filters such as country, category, keyword or advertiser.

How Datastreamer works

Quickly apply Datastreamer Dialect Detection Model to Vetric Social Media Advertisements with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Vetric Social Media Advertisements

Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.

Step 2

Add Datastreamer Dialect Detection Model with an Operation

Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.

Step 3

That's it! You have just connected  Datastreamer Dialect Detection Model and Vetric Social Media Advertisements

Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.

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.

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