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Enrich Twingly Blogs with Datastreamer AI Brand Recognition Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Twingly Blogs
Twingly indexes 1 million blog posts per day, from all over the world, and make them available. Twingly adds 4,000 new active blogs every day, and if that is not enough, you can easily add more yourself, and we will cover them for you
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 Twingly Blogs with Datastreamer AI Brand Recognition Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly Blogs
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 AI Brand Recognition Classifier 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 Twingly Blogs and Datastreamer AI Brand Recognition Classifier
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.