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Enrich Vetric Social Sources with Datastreamer Dialect Detection Model
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Vetric Social Sources
Multi-method collection of real-time social media data. Their APIs are ideal for market research, content curation, competitive intelligence, social media monitoring, analyzing live event promotions and influencer outreach.
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.
Quickly enrich Vetric Social Sources with Datastreamer Dialect Detection Model with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Vetric Social Sources
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Step 2
Add Datastreamer Dialect Detection Model to enrich
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Vetric Social Sources and Datastreamer Dialect Detection Model
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.