Tisane API

Detect hate speech, cyberbullying, and more in 27 languages

Harness the power of next-generation AI to extract more from text in 27 languages: detect hate speech, sexual harassment, cyberbullying, extract topics, and find not just whether, but also why the customer is happy or unhappy with your product or service.

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4 Reviews3.8/5
Hi Makers of Tisane API! Is the Slovene language also available?
@ana_topoljski Awesome to see a Slovenian around here 😄 👋
@owenfar1 Thanks! We might be a small country, but I do get the feeling that we do find our way around here!😀😇
@ana_topoljski Oh for sure ☺️ I'm coming from an even much smaller country, and having moved to Slovenia, I have to say it's lovely, and people here are open and welcoming! See you hunting around 🙌
@owenfar1 Yes, indeed, that is how we are😉Happy hunting and upvoting😎
@ana_topoljski Hi Ana! Sorry, no Slovene yet. Having said that, the effort of adding a new language is within a scope of a small to mid-size project, so we'll be happy to start a conversation and evaluate your needs / effort. You can go via our Contact Form or directly to me (vadim dot berman at tisane dot ai).
I love the idea. This is really cool if you want to have a commenting system, and would like to be warned about some spam or hatred comments 👏 👌
@owenfar1 Thanks, Owen. Yes, this is exactly the idea. There are several ways to integrate the API. Probably the most "diplomatic" one is to evaluate a comment before it's posted and let the person know if they "overstepped" the boundary. Less fights, less privacy invasions.
@vadimberman Saved in my collections and bookmarked! Awesome, keep it up 🙂
Really interesting product, and I'd love to use this for a product at somepoint. However, it doesn't seem the most accurate at the minute. I've used the demo and it wasn't picking up a lot of what I was saying. I'm looking forward to seeing this grow!
@recon Thanks, Sam! There is, of course, lots of room for improvement, and like any other product, it will improve over the initial level. The general idea with the abuse detection though is to pick enough to deter potential offenders; just like the police does not aim to catch every criminal, there will be always someone to slip through the cracks. We don't aim to reach the "clean room" level, more like to help make the discourse more human.
A couple of years ago I was looking for something similar, I did not find it( Great idea, success!