Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
Twingly delivers over 3 million news articles per day from 170,000 active news sources through their News API
How Datastreamer works
Quickly apply Datastreamer AI Brand Recognition Classifier to Twingly News with a Datstreamer Pipeline.
Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.
Add Datastreamer components to your data stack and explore its full capabilities
