Need advice about which tool to choose?Ask the StackShare community!
Gensim vs rasa NLU: What are the differences?
What is Gensim? A python library for Topic Modelling. It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
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.
Gensim and rasa NLU can be categorized as "NLP / Sentiment Analysis" tools.
Gensim and rasa NLU are both open source tools. It seems that Gensim with 9.65K GitHub stars and 3.52K forks on GitHub has more adoption than rasa NLU with 6.05K GitHub stars and 1.82K GitHub forks.
According to the StackShare community, rasa NLU has a broader approval, being mentioned in 5 company stacks & 17 developers stacks; compared to Gensim, which is listed in 3 company stacks and 5 developer stacks.
Pros of Gensim
Pros of rasa NLU
- Open Source9
- Docker Image6
- Self Hosted6
- Comes with rasa_core3
- Enterprise Ready1
Sign up to add or upvote prosMake informed product decisions
Cons of Gensim
Cons of rasa NLU
- No interface provided4
- Wdfsdf4