A session on Chatbot Development using RASA platform was arranged on 11th January 2020. It was conducted by Dr. Yogesh Kulkarni who is a former professor at COEP. He has 16+ years of experience in the software development field in various capacities and is currently the Principal Data Science Architect at Icertis , Pune. He taught about the development of a chatbot using RASA. The session started with a brief introduction about chatbots, IVR (Integrated voice response) and how chatbot solved the IVR problems. Advantages and disadvantages of chatbots were discussed too. For developing chatbot, natural language processing, machine learning and deep learning are the prerequisites. Gartner prediction – “85% of customer interactions will be managed without a human by 2020” Business Insider - “The global chatbot market is expected to reach $1.23 billion by 2025” Chatbots are a form of human-computer dialog system which operates through natural language via text or speech. The backend of the chatbot is designed to handle messages from different channels and process them with Natural Language Processing (NLP) services. NLP is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data. Understanding Natural Language is Hallmark of Artificial Intelligence. NLU is a subpart of NLP. The type of chatbots are:-
In the second half, the attendees were introduced to installation and usage of Rasa software. Rasa is an open source machine learning tool to develop text-and voice-based chatbots and assistants. Rasa NLU is an open-source natural language processing tool for intent classification, response retrieval and entity extraction in chatbots. It is written in Python. The reasons for choosing Rasa for development instead of several other platforms are:
- Written by Shreya Pawaskar.
2 Comments
1/26/2023 10:32:54 pm
This blog is very informative and helpful
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