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Tisane Labs

Text analytics for user-generated content with a focus on abuse
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What is Tisane Labs?

It is NLU with a focus on abusive content. We detect cyberbullying / personal attacks, hate speech, sexual advances, obfuscated profanities, criminal activity, and more. It is trusted by online communities, law enforcement agencies, content filter companies, hate speech researchers, and regtech companies. With the moderation being a controversial topic, it is built from the ground up to be transparent, explainable, and bias-free. We support close to 30 languages, as well as misspelled / purportedly obfuscated content. With Tisane being a complete NLU engine, we also provide the standard text analytics capabilities.
Tisane Labs is a tool in the NLP / Sentiment Analysis category of a tech stack.

Tisane Labs's Features

  • Send text request, receive annotations ina JSON response
  • Our API supports more languages than any other vendor. (No, analyzing machine-translated content is not “support”)
  • Affordable
  • Simple API
  • Spot abuse

Tisane Labs Alternatives & Comparisons

What are some alternatives to Tisane Labs?
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rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
Google Cloud Natural Language API
You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
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