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Enrich Twingly News with Datastreamer Abusive Language Classifier
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Twingly News
Twingly delivers over 3 million news articles per day from 170,000 active news sources through their News API
About Datastreamer Abusive Language Classifier
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.
Quickly enrich Twingly News with Datastreamer Abusive Language Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly News
Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.
Step 2
Add Datastreamer Abusive Language Classifier to enrich
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.
Step 3
That's it! You have just connected Twingly News and Datastreamer Abusive Language Classifier
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.