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?
Companies
19 companies reportedly use rasa NLU in their tech stacks, including Labs, Startup Bakery, and cybercare.
Developers
101 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 16 tools that integrate with rasa NLU.
Pros of rasa NLU
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rasa NLU's Features
- Open source
- NLP
- Machine learning
rasa NLU Alternatives & Comparisons
What are some alternatives to rasa NLU?
Dialogflow
Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
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.
NLTK
It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
TensorFlow
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.
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
