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rasa NLU vs FastText: What are the differences?
What is rasa NLU? Open source, drop-in replacement for NLP tools like wit.ai. 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.
What is FastText? Library for efficient text classification and representation learning. It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.
rasa NLU and FastText can be primarily classified as "NLP / Sentiment Analysis" tools.
rasa NLU is an open source tool with 6.58K GitHub stars and 2.01K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.
Pros of FastText
- Simple1
Pros of rasa NLU
- Open Source9
- Docker Image6
- Self Hosted6
- Comes with rasa_core3
- Enterprise Ready1
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Cons of FastText
- No step by step API support1
- No in-built performance plotting facility or to get it1
- No step by step API access1
Cons of rasa NLU
- No interface provided4
- Wdfsdf4
