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rasa NLU

Open source, drop-in replacement for NLP tools like wit.ai
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What is 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.
rasa NLU is a tool in the NLP / Sentiment Analysis category of a tech stack.
rasa NLU is an open source tool with 7.2K GitHub stars and 2.2K GitHub forks. Here’s a link to rasa NLU's open source repository on GitHub

Who uses rasa NLU?

5 companies reportedly use rasa NLU in their tech stacks, including Adya Sports Tech Private Limited, Samtec SPG, and Hive.

18 developers on StackShare have stated that they use rasa NLU.

Why developers like rasa NLU?

Here’s a list of reasons why companies and developers use rasa NLU

rasa NLU's Features

  • open source
  • python
  • NLP
  • machine learning

rasa NLU Alternatives & Comparisons

What are some alternatives to rasa NLU?
Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
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.
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.
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.
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.
See all alternatives

rasa NLU's Followers
30 developers follow rasa NLU to keep up with related blogs and decisions.
Gustavo Castro
Enzo Mar
Tamilvanan P
Philippe Dionne
Jose Lopez
Chike Agbai
Aniket Chowdhudy