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Apply Tisane Problematic Content Detection to Bright Data Etsy Products

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 Bright Data Etsy Products

Keyword-based searching of the Etsy eCommerce site. Returns matching product listings that contain pricing, title, description, rating, images, specifications, and reviews.

How Datastreamer works

Quickly apply Tisane Problematic Content Detection to Bright Data Etsy Products with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Etsy Products

Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.

Step 2

Add Tisane Problematic Content Detection with an Operation

Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.

Step 3

That's it! You have just connected  Tisane Problematic Content Detection and Bright Data Etsy Products

No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.

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!