Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Cover hundreds of thousands of blog articles in multiple languages going back to 2008, Webz Blogs dataset allows you to feed your machines with fresh blog data, powered unparalleled latency and adaptive crawling.
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 Webz Blogs with Tisane Problematic Content Detection with a Datstreamer Pipeline.
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.
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.
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.
Add Datastreamer components to your data stack and explore its full capabilities
