An Analytical Study and Review of open source Chatbot framework, Rasa
Rakesh Kumar Sharma
Abstract
In the era of chatbots, besides imitating humans they can also perform complex tasks like booking tickets for movie etc. Out of various implementations, RASA is open source implementation for NLU and DIET model. It can interact with database, api, conversational flow, interactive learning with reinforcement Neural network. In this study, various features of rasa core are studied and upto much extent it can perform complex tasks. Implementation details are studied like interaction with database, API. Tracker Store has been examined with modifying the socket.io core file adding metadata to the user message data, so that user ip and port can be captured. Furthermore, the action, interactive learning and implementation details are tested on windows Pycharm IDE.