Need advice about which tool to choose?Ask the StackShare community!
MonkeyLearn vs rasa NLU: What are the differences?
What is MonkeyLearn? Text Analysis with Machine Learning. Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.
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.
MonkeyLearn and rasa NLU can be primarily classified as "NLP / Sentiment Analysis" tools.
rasa NLU is an open source tool with 5.6K GitHub stars and 1.66K GitHub forks. Here's a link to rasa NLU's open source repository on GitHub.
Pros of MonkeyLearn
- Easy to use1
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 MonkeyLearn
Cons of rasa NLU
- No interface provided4
- Wdfsdf4