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Rasa NLU – Language Understanding for ChatBots and AI Assistants

Posted by Marcus Zillman

Rasa NLU – Language Understanding for ChatBots and AI Assistants
https://rasa.com/docs/nlu/

Rasa NLU is an open-source natural language processing tool for intent classification and entity extraction in chatbots. The target audience is developers building chatbots and voice apps. The main reasons for using open source NLU are that: a) You don’t have to hand over all your training data to Google, Microsoft, Amazon, or Facebook; b) Machine Learning is not one-size-fits all. You can tweak and customize models for your training data; and c) Rasa NLU runs wherever you want, so you don’t have to make an extra network request for every message that comes in. You can read about the advantages of using open source NLU in this blog post . You can see an independent benchmark comparing Rasa NLU to closed source alternatives here. This will be added to ChatterBots Subject Tracer™. This will be added to Artificial Intelligence Resources 2019 Subject Tracer™. This will be added to Business Intelligence Resources Subject Tracer™. This will be added to Entrepreneurial Resources Subject Tracer™. This will be added to the tools section of Research Resources Subject Tracer™.

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