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Conversational Artificial Intelligence
book

Conversational Artificial Intelligence

by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Anand Rajavat, Mary Sowjanya Alamanda, Kotagiri Srividya, K. Sakthidasan Sankaran
March 2024
Intermediate to advanced content levelIntermediate to advanced
800 pages
28h 48m
English
Wiley-Scrivener
Content preview from Conversational Artificial Intelligence

13Evaluation of Chabot Text Classification Using Machine Learning

P. Kumaraguru Diderot1*, K. Sakthidasan Sankaran1, Malik Jawarneh2, Hriakumar Pallathadka3, José Luis Arias-Gonzáles4 and Domenic T. Sanchez5

1Department of ECE, Hindustan Institute of Technology and Science, Chennai, India

2Faculty of Computing Sciences, Gulf College, Al-Khuwair, Oman

3Manipur International University, Manipur, India

4University of British Columbia, Lima, Peru

5Cebu Technological University-NEC, Cebu City, Philippines

Abstract

A chatbot is a type of software with artificial intelligence (AI) that is meant to talk like a person, usually over the internet. More and more people use chatbots. Every chatbot is built from the ground up with the main idea that it can have an intelligent conversation with a human user (often through text messages) and respond to their questions in the right way. This chapter gives a detailed literature review of the different ways that chatbot text features can be optimized. In the literature review section, there is also a detailed look at how machine learning techniques can be used to classify texts and group them together. A framework for classifying chatbot text based on machine learning is also shown. The normalization method is used to remove noise during preprocessing. Particle Swarm Optimization is used to improve the features, and KNN, SVM, and Naïve Bayes techniques are used to classify the text.

Keywords: Chatbot text classification, preprocessing, normalization, ...

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Publisher Resources

ISBN: 9781394200566Purchase Link