
Comparative study of cloud platforms to develop a Chatbot
Author(s) -
Amit Patil,
K. Marimuthu,
Nagaraja Rao A,
R. Niranchana
Publication year - 2017
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v6i3.7628
Subject(s) - chatbot , cloud computing , computer science , ibm , service (business) , world wide web , conversation , multimedia , software engineering , operating system , linguistics , philosophy , materials science , economy , economics , nanotechnology
Before chatbots there were simply bots: The invention of a chatbot brought us to the new era of technology, the era of conversation service. A chatbot is a virtual person that can effectively talk to any human being with the help of interactive conversion textual skill. Now a days there are many cloud-based platforms available for developing and deploying the chatbot such as Microsoft bot framework, IBM Watson, Kore, AWS lambda, Microsoft Azure bot service, Chatfuel, Heroku and many more but all those techniques has some drawbacks such as built-in Artificial Intelligence, NLP, conversion service, programming etc. This paper represents the comparison between all cloud-based chatbot technologies with some constraint such as built-in AI, setup time, completion time, complexity etc. Finally, by the comparison, we will get to know that which cloud platform is efficient and suitable for developing chatbot.