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Tisane Labs
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Tisane Labs

#34in Voice & Audio Models
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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 Voice & Audio Models category of a tech stack.

Key Features

Send text request, receive annotations in a JSON responseOur API supports more languages than any other vendor. (No, analyzing machine-translated content is not “support”)AffordableSimple APISpot abuse

Tisane Labs Pros & Cons

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Tisane Labs Alternatives & Comparisons

What are some alternatives to Tisane Labs?

SpaCy

SpaCy

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

Transformers

Transformers

It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.

rasa NLU

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.

Gensim

Gensim

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

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

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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