Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)

<Previous Article In Volume
Next Article In Volume>

Enhancing Chatbot Responses Based on Natural Language Processing Techniques

Authors
Yuelong Li1, *
1Software College, South China Normal University, Guangdong, Guongzhou, 510631, China
*Corresponding author. Email: 20202033030@m.scnu.edu.cn
Corresponding Author
Yuelong Li
Available Online 27 November 2023.
DOI
10.2991/978-94-6463-300-9_74How to use a DOI?
Keywords
Chatbot; Natural Language Processing; Machine Learning
Abstract

Advancements in conversational Artificial Intelligence (AI) models, exemplified by ChatGPT, New Bing, and Claude, have substantially improved real-time interaction and virtual assistant capabilities of chatbot systems. The growing recognition of the significance of conversational AI has led to an increased focus on incorporating Natural Language Processing (NLP) methodologies in chatbot training. NLP, a pivotal field within computer science and AI, empowers machines to comprehend, parse, and generate human language. In the context of machine learning, NLP facilitates the understanding and utilization of vast amounts of unstructured textual data, a crucial aspect for data-driven decision making and predictive modeling. This research contends that the excellence of a chatbot should be evaluated based not on the complexity of its responses to human statements but on its ability to closely emulate human conversational logic. The present study aims to explore a series of natural language processing techniques to enhance chatbot responses, rendering them more human-like.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
Series
Advances in Computer Science Research
Publication Date
27 November 2023
ISBN
978-94-6463-300-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-300-9_74How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuelong Li
PY  - 2023
DA  - 2023/11/27
TI  - Enhancing Chatbot Responses Based on Natural Language Processing Techniques
BT  - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023)
PB  - Atlantis Press
SP  - 700
EP  - 712
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-300-9_74
DO  - 10.2991/978-94-6463-300-9_74
ID  - Li2023
ER  -