Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Categorize text into predefined media topics. This classifier can process text from various sources such as news articles, blogs, and social media posts. It helps identify the dominant theme of the content making it easier to organize and analyze large volumes of data. It also support multiple languages, making it adaptable for global markets, and can operate in real-time or batch-processing scenarios.
Condensed affordable new datasets.
How Datastreamer works
Quickly apply Datastreamer Category Classifier to Webz News Lite with a Datstreamer Pipeline.
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.
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.
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.
Add Datastreamer components to your data stack and explore its full capabilities
