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Cover all posts, comments and user profiles on Wimkin.
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 Open Measures Wimkin with Tisane Problematic Content Detection with a Datstreamer Pipeline.
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
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.
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.
Add Datastreamer components to your data stack and explore its full capabilities
