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Enrich Webz News with Datastreamer Product Detection Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Webz News
Cover a vast collection of relevant news sources in over 170 languages, with more than 2.5 million news articles added daily and archives dating back to 2008 , Webz News dataset delivers near real-time results for comprehensive insights., and empowers you to analyze trends , track narratives, and uncover meaningful insights from global news coverage.
About Datastreamer Product Detection Classifier
Detect products within content across 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 Webz News with Datastreamer Product Detection Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Webz News
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Step 2
Add Datastreamer Product Detection Classifier to enrich
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Webz News and Datastreamer Product Detection Classifier
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.