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Apply Tisane Problematic Content Detection to Socialgist Tencent

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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 Socialgist Tencent

Collection of Tencent (Reaction to China’s news) data.

How Datastreamer works

Quickly apply Tisane Problematic Content Detection to Socialgist Tencent with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Socialgist Tencent

In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.

Step 2

Add Tisane Problematic Content Detection with an Operation

Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.

Step 3

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

With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.

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.

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