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.
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 Category Classifier to Twingly News with a Datstreamer Pipeline.
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.
Add Datastreamer components to your data stack and explore its full capabilities
