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UBIAI vs rasa NLU: What are the differences?
UBIAI: An easy-to-use text annotation tool for NLP applications. It is an efficient and easy-to-use text annotation tool for Natural Language Processing (NLP) applications. With this, you can train an NLP model in few hours by collaborating with team members and using the machine learning auto-annotation feature; 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.
UBIAI and rasa NLU are primarily classified as "Data Labeling as a Service" and "NLP / Sentiment Analysis" tools respectively.
Some of the features offered by UBIAI are:
- Multi-format document upload: TXT, CSV , JSON , PDF, DOC, HTML
- Multilingual: English, French, German, Arabic, Spanish, etc…
- Dictionary/Regex auto-annotation: input a list of words or regex patterns along with their associated entities. The tool will automatically scan the documents and auto-annotate
On the other hand, rasa NLU provides the following key features:
- open source
- python
- NLP
rasa NLU is an open source tool with 9.66K GitHub stars and 2.98K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.
Pros of rasa NLU
- Open Source9
- Docker Image6
- Self Hosted6
- Comes with rasa_core3
- Enterprise Ready1
Pros of UBIAI
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Cons of rasa NLU
- No interface provided4
- Wdfsdf4