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Integrate Tisane Problematic Content Detection into Databricks

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Tisane Problematic Content Detection

Detect insults (profane or not), hate speech, suicidal ideation, attempts to establish external contact, allegations, and more. Counter algospeak and slang.

Automatic detection of problematic content in text, including attempts to lure users off the platform and establish content, profanities, mental issues and suicidal ideation, and more.

Built from scratch for social media content, Tisane handles misspellings, algospeak, bad grammar, jargon. It operates with social content is a manner that is more granular than any other NLP platform.

Tisane problematic content detection supports 35+ languages, including slang and obfuscated text (adversarial text manipulation).

About Databricks

Connect your pipelines into Databricks warehouse.

How Datastreamer works

Quickly connect Tisane Problematic Content Detection and Databricks with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Tisane Problematic Content Detection

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

Transform, and then add Databricks

Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.

Step 3

That's it! You have just connected  Tisane Problematic Content Detection and Databricks

Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.

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!