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Apply Datastreamer Abusive Language Classifier to Socialgist Tumblr

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 Socialgist Tumblr

Tumblr coverage from Socialgist.

How Datastreamer works

Quickly apply Datastreamer Abusive Language Classifier to Socialgist Tumblr with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Socialgist Tumblr

Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.

Step 2

Add Datastreamer Abusive Language Classifier with an Operation

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.

Step 3

That's it! You have just connected  Datastreamer Abusive Language Classifier and Socialgist Tumblr

Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!