Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Detect abusive language in forums, chats, social, and other unstructured content in over 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.
Cover thousands of review in multiple languages from all over the globe, Webz Reviews dataset lets your machine listen to evert reviewer, everywhere.
How Datastreamer works
Quickly apply Datastreamer Abusive Language Classifier to Webz Reviews 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.
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.
Add Datastreamer components to your data stack and explore its full capabilities
