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rasa NLU

Conversational AI platform, for personalized conversations at scale
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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 GitHub stars and GitHub forks. Here’s a link to rasa NLU's open source repository on GitHub

Who uses rasa NLU?

20 companies reportedly use rasa NLU in their tech stacks, including Labs, Startup Bakery, and cybercare.

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

rasa NLU Integrations

Slack, Twilio, Telegram , Mattermost, and RocketChat are some of the popular tools that integrate with rasa NLU. Here's a list of all 15 tools that integrate with rasa NLU.
Pros of rasa NLU
Open Source
Docker Image
Self Hosted
Comes with rasa_core
Enterprise Ready

rasa NLU's Features

  • Open source
  • 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.
It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
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.
See all alternatives

rasa NLU's Followers
273 developers follow rasa NLU to keep up with related blogs and decisions.