Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Cover hundreds of thousands of blog articles in multiple languages going back to 2008, Webz Blogs dataset allows you to feed your machines with fresh blog data, powered unparalleled latency and adaptive crawling.
Sentiment analysis answers the question whether the author is positive or negative about something. Tisane sentiment analysis supports 35+ languages, including slang and obfuscated text.
How Datastreamer works
Quickly enrich Webz Blogs with Tisane Sentiment Analysis 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
