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Apply Datastreamer Abusive Language Classifier to Twingly VK
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About Twingly VK
Twingly offers an official VK Search API that includes all public posts, shares and comments, a total of 20 million messages per day. Get access today to find out what is said about your brand, customers or competitors in the Russian market.
Quickly apply Datastreamer Abusive Language Classifier to Twingly VK with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly VK
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.
Step 2
Add Datastreamer Abusive Language Classifier with an Operation
Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.
Step 3
That's it! You have just connected Datastreamer Abusive Language Classifier and Twingly VK
Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.