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Enrich Vetric Social Sources with Datastreamer AI Brand Recognition Classifier
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 AI Brand Recognition Classifier
Detect and identify brand mentions within text. It processes content from sources like social media, articles, and customer feedback, providing insights into brand visibility. Supporting multiple languages, this classifier is adaptable for global applications and can operate in both real-time and batch-processing environments, making it valuable for tracking brand presence at scale.
Quickly enrich Vetric Social Sources with Datastreamer AI Brand Recognition Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Vetric Social Sources
Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.
Step 2
Add Datastreamer AI Brand Recognition Classifier to enrich
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 Vetric Social Sources and Datastreamer AI Brand Recognition Classifier
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.