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AI · September 12, 2018

AT

API to detect abusive content in 27 languages

Hello HN, I am Vadim of Tisane Labs (http://tisane.ai). We build text analytics APIs. My natural language processing journey started over a decade ago, when I built an NLP engine with an emphasis on scalability across languages. The engine served as a foundation of a startup I cofounded in 2010 (https://en.wikipedia.org/wiki/LinguaSys), which had Mark Cuban as an investor and was acquired in 2015. Utilizing our expertise, we're trying to tackle one of the most painful issues with the Internet today: abusive content. Hate speech, sexual harassment, cyberbullying…

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In the maker’s words, at launch

Hello HN, I am Vadim of Tisane Labs (http://tisane.ai). We build text analytics APIs. My natural language processing journey started over a decade ago, when I built an NLP engine with an emphasis on scalability across languages. The engine served as a foundation of a startup I cofounded in 2010 (https://en.wikipedia.org/wiki/LinguaSys), which had Mark Cuban as an investor and was acquired in 2015. Utilizing our expertise, we're trying to tackle one of the most painful issues with the Internet today: abusive content. Hate speech, sexual harassment, cyberbullying are difficult to detect. Today's solutions mostly look for obscenities; correlation with training datasets only works with limited demos as the patterns of abuse are too many. Hate speech is more than just ethnic slurs. The API is a generic analytical engine, so it may be used for other purposes as well, but abusive content is our main focus. We'd love to hear your feedback, ideas, wishes, and complaints.

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