Rasa Platform - Data analyzing tool?


is there any tool within the platform helping to select proper training data like for NER_CRF etc. and removing like similiar sentences (overfitting)?

As I read from the page the general pipeline is to add examples to data and evaluate the overall model performance in a graphical user interface. Is this correct? Do you have already a tool selecting the examples best for best model performance so to say (both for NER and intent)

There are some analytics tools in the platform for model performance, yes. The main goal of the Rasa Platform as well is to learn from real user data, so adding utterances/stories of things people actually say, rather than artificially creating it. If you’d like to know some more details about it, please contact our sales team here