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For online communities, content moderation teams, and law enforcement or intelligence workflows, Tisane Labs analyzes user-generated text to surface abusive content and other signals that may need review. It can identify hate speech, cyberbullying, threats, sexual advances, allegations, possible criminal activity, spam, and other policy or investigation concerns, including in text with slang, misspellings, or obfuscated wording. The service returns structured analysis through an API, including flagged text and explanations, along with named entities, topics, and sentiment. Teams can use these results to support moderation queues, review online discussions, or analyze text for investigative leads; Tisane identifies and reports findings, while the application or team using it decides what action to take. It may suit organizations building text-analysis workflows that need more than keyword matching, rather than individuals looking for a standalone social app.
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