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Enrich Bright Data Trustpilot with Tisane Problematic Content Detection

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

About Bright Data Trustpilot

Collect and extract Trustpilot business reviews using URLs. Returns matching business reviews that include the review title, rating, author, position of the author, and more.

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).

How Datastreamer works

Quickly enrich Bright Data Trustpilot with Tisane Problematic Content Detection with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Bright Data Trustpilot

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 Tisane Problematic Content Detection 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  Bright Data Trustpilot and Tisane Problematic Content Detection

Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.

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!