A Comprehensive review of Conversational Agent and its prediction algorithm

EOI: 10.11242/viva-tech.01.02.07

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Aditya M. Pujari, Rahul M. Dalvi, Kaustubh S. Gawde, Tatwadarshi P. N., "A Comprehensive review of Conversational Agent and its prediction algorithm", VIVA-IJRI Volume 1, Issue 2, Article 7, pp. 1-6, 2019. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.


There is an exponential increase in the use of conversational bots. Conversational bots can be described as a platform that can chat with people using artificial intelligence. The recent advancement has made A.I capable of learning from data and produce an output. This learning of data can be performed by using various machine learning algorithm. Machine learning techniques involves construction of algorithms that can learn for data and can predict the outcome. This paper reviews the efficiency of different machine learning algorithm that are used in conversational bot.


Machine learning, Random Forest, Linear Regression, K-means, Chatbot.


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