Introduction to natural language processing: Building a basic chatbot
Independent Researcher, USA.
Research Article
World Journal of Advanced Research and Reviews, 2022, 15(02), 798-807
Publication history:
Received on 21 June 2022; revised on 16 August 2022; accepted on 20 August 2022
Abstract:
Natural Language Processing (NLP) has become an increasingly important field in artificial intelligence, enabling machines to understand, interpret, and generate human language. This paper provides an introduction to NLP concepts and techniques, focusing on the development of a basic chatbot. We explore the fundamental principles of NLP, including tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis. The paper then delves into the architecture and implementation of a simple rule-based chatbot, followed by an introduction to more advanced techniques using machine learning and deep learning approaches. We discuss the challenges and limitations of current chatbot technologies and provide insights into future research directions. The paper concludes with a practical demonstration of building a basic chatbot using Python, showcasing the application of NLP techniques in a real-world scenario.
Keywords:
Natural Language Processing (NLP); Tokenization; Part-of-Speech Tagging; Named Entity Recognition; Sentiment Analysis; Chatbots; Machine Learning; Deep Learning; Pattern Matching; Transfer Learning
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Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0