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Pros of SpaCy
Pros of Thematic
Pros of rasa NLU
- Open Source9
- Docker Image6
- Self Hosted6
- Comes with rasa_core3
- Enterprise Ready1
Pros of SpaCy
- Speed12
- No vendor lock-in2
Pros of Thematic
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Cons of rasa NLU
Cons of SpaCy
Cons of Thematic
Cons of rasa NLU
- No interface provided4
- Wdfsdf4
Cons of SpaCy
- Requires creating a training set and managing training1
Cons of Thematic
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- No public GitHub repository available -
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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.
What is 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.
What is Thematic?
The fastest and most reliable way for finding deep insights in NPS, CSAT, user research surveys and chat logs.
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What companies use rasa NLU?
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What tools integrate with rasa NLU?
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What are some alternatives to rasa NLU, SpaCy, and Thematic?
Dialogflow
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Postman
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Postman
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