Artificial Intelligence Chatbot Advisory System

Chidi Ukamaka Betrand; Oluchukwu Uzoamaka Ekwealor; Chinazo Juliet Onyema

doi:doi:10.11648/j.ijiis.20231201.11

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Artificial Intelligence Chatbot Advisory System

Chidi Ukamaka Betrand, Oluchukwu Uzoamaka Ekwealor, Chinazo Juliet Onyema

Published in International Journal of Intelligent Information Systems (Volume 12, Issue 1)

Received: 17 February 2023 Accepted: 3 March 2023 Published: 21 March 2023

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Abstract

A chatbot is an intelligent agent that aims at providing a better, easier way to handle activities through smartphones or PCs by simulating the interaction between humans and machines. Chatbots can be deployed on various platforms such as social media applications, web applications, or websites. This project is designed to simulate communication between user and system using natural language processing with python programming and also to provide easy access to information that they would traditionally have to seek through confrontation or handbooks, simply by sending a text message. The motivation behind this work is to have a more direct, automatic way of getting information, to overcome the pitfalls of manual book searching and physical meetings. These existing methods are not very efficient and are usually time-wasting. Analysis of existing methods and related acts enabled the requirements of the specifications to be gathered, and this initiated the design and implementation of the project. The project was developed using the Agile methodology. Artificial Intelligence technology and modern internet technological tools which included NLTK-model (natural processing algorithm model), Sentiment Analyzer model, and Python programming language, respectively. This system was tested for accuracy, and human-interaction likeness. It is deployed on the Telegram messaging app, through Telegram API keys obtained on Botfather. The system effectively responds to queries and on time.

Published in	International Journal of Intelligent Information Systems (Volume 12, Issue 1)
DOI	10.11648/j.ijiis.20231201.11
Page(s)	1-9
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Chatbot, Machine Learning, Natural Language Processing, Conversational Agent, Artificial Intelligence

References

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APA Style

Chidi Ukamaka Betrand, Oluchukwu Uzoamaka Ekwealor, Chinazo Juliet Onyema. (2023). Artificial Intelligence Chatbot Advisory System. International Journal of Intelligent Information Systems, 12(1), 1-9. https://doi.org/10.11648/j.ijiis.20231201.11

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ACS Style

Chidi Ukamaka Betrand; Oluchukwu Uzoamaka Ekwealor; Chinazo Juliet Onyema. Artificial Intelligence Chatbot Advisory System. Int. J. Intell. Inf. Syst. 2023, 12(1), 1-9. doi: 10.11648/j.ijiis.20231201.11

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AMA Style

Chidi Ukamaka Betrand, Oluchukwu Uzoamaka Ekwealor, Chinazo Juliet Onyema. Artificial Intelligence Chatbot Advisory System. Int J Intell Inf Syst. 2023;12(1):1-9. doi: 10.11648/j.ijiis.20231201.11

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@article{10.11648/j.ijiis.20231201.11,
  author = {Chidi Ukamaka Betrand and Oluchukwu Uzoamaka Ekwealor and Chinazo Juliet Onyema},
  title = {Artificial Intelligence Chatbot Advisory System},
  journal = {International Journal of Intelligent Information Systems},
  volume = {12},
  number = {1},
  pages = {1-9},
  doi = {10.11648/j.ijiis.20231201.11},
  url = {https://doi.org/10.11648/j.ijiis.20231201.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20231201.11},
  abstract = {A chatbot is an intelligent agent that aims at providing a better, easier way to handle activities through smartphones or PCs by simulating the interaction between humans and machines. Chatbots can be deployed on various platforms such as social media applications, web applications, or websites. This project is designed to simulate communication between user and system using natural language processing with python programming and also to provide easy access to information that they would traditionally have to seek through confrontation or handbooks, simply by sending a text message. The motivation behind this work is to have a more direct, automatic way of getting information, to overcome the pitfalls of manual book searching and physical meetings. These existing methods are not very efficient and are usually time-wasting. Analysis of existing methods and related acts enabled the requirements of the specifications to be gathered, and this initiated the design and implementation of the project. The project was developed using the Agile methodology. Artificial Intelligence technology and modern internet technological tools which included NLTK-model (natural processing algorithm model), Sentiment Analyzer model, and Python programming language, respectively. This system was tested for accuracy, and human-interaction likeness. It is deployed on the Telegram messaging app, through Telegram API keys obtained on Botfather. The system effectively responds to queries and on time.},
 year = {2023}
}

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TY - JOUR
T1 - Artificial Intelligence Chatbot Advisory System
AU - Chidi Ukamaka Betrand
AU - Oluchukwu Uzoamaka Ekwealor
AU - Chinazo Juliet Onyema
Y1 - 2023/03/21
PY - 2023
N1 - https://doi.org/10.11648/j.ijiis.20231201.11
DO - 10.11648/j.ijiis.20231201.11
T2 - International Journal of Intelligent Information Systems
JF - International Journal of Intelligent Information Systems
JO - International Journal of Intelligent Information Systems
SP - 1
EP - 9
PB - Science Publishing Group
SN - 2328-7683
UR - https://doi.org/10.11648/j.ijiis.20231201.11
AB - A chatbot is an intelligent agent that aims at providing a better, easier way to handle activities through smartphones or PCs by simulating the interaction between humans and machines. Chatbots can be deployed on various platforms such as social media applications, web applications, or websites. This project is designed to simulate communication between user and system using natural language processing with python programming and also to provide easy access to information that they would traditionally have to seek through confrontation or handbooks, simply by sending a text message. The motivation behind this work is to have a more direct, automatic way of getting information, to overcome the pitfalls of manual book searching and physical meetings. These existing methods are not very efficient and are usually time-wasting. Analysis of existing methods and related acts enabled the requirements of the specifications to be gathered, and this initiated the design and implementation of the project. The project was developed using the Agile methodology. Artificial Intelligence technology and modern internet technological tools which included NLTK-model (natural processing algorithm model), Sentiment Analyzer model, and Python programming language, respectively. This system was tested for accuracy, and human-interaction likeness. It is deployed on the Telegram messaging app, through Telegram API keys obtained on Botfather. The system effectively responds to queries and on time.
VL - 12
IS - 1
ER -

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Author Information

Chidi Ukamaka Betrand

Department of Computer Science, School of Information and Communication Technology, Federal University of Technology, Owerri, Nigeria
Oluchukwu Uzoamaka Ekwealor

Department of Computer Science, Faculty of Physical Sciences, Nnamdi Azikiwe University, Awka, Nigeria
Chinazo Juliet Onyema

Department of Computer Science, School of Information and Communication Technology, Federal University of Technology, Owerri, Nigeria

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Plain Text BibTeX RIS

APA Style

Chidi Ukamaka Betrand, Oluchukwu Uzoamaka Ekwealor, Chinazo Juliet Onyema. (2023). Artificial Intelligence Chatbot Advisory System. International Journal of Intelligent Information Systems, 12(1), 1-9. https://doi.org/10.11648/j.ijiis.20231201.11

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ACS Style

Chidi Ukamaka Betrand; Oluchukwu Uzoamaka Ekwealor; Chinazo Juliet Onyema. Artificial Intelligence Chatbot Advisory System. Int. J. Intell. Inf. Syst. 2023, 12(1), 1-9. doi: 10.11648/j.ijiis.20231201.11

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AMA Style

Chidi Ukamaka Betrand, Oluchukwu Uzoamaka Ekwealor, Chinazo Juliet Onyema. Artificial Intelligence Chatbot Advisory System. Int J Intell Inf Syst. 2023;12(1):1-9. doi: 10.11648/j.ijiis.20231201.11

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@article{10.11648/j.ijiis.20231201.11,
  author = {Chidi Ukamaka Betrand and Oluchukwu Uzoamaka Ekwealor and Chinazo Juliet Onyema},
  title = {Artificial Intelligence Chatbot Advisory System},
  journal = {International Journal of Intelligent Information Systems},
  volume = {12},
  number = {1},
  pages = {1-9},
  doi = {10.11648/j.ijiis.20231201.11},
  url = {https://doi.org/10.11648/j.ijiis.20231201.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20231201.11},
  abstract = {A chatbot is an intelligent agent that aims at providing a better, easier way to handle activities through smartphones or PCs by simulating the interaction between humans and machines. Chatbots can be deployed on various platforms such as social media applications, web applications, or websites. This project is designed to simulate communication between user and system using natural language processing with python programming and also to provide easy access to information that they would traditionally have to seek through confrontation or handbooks, simply by sending a text message. The motivation behind this work is to have a more direct, automatic way of getting information, to overcome the pitfalls of manual book searching and physical meetings. These existing methods are not very efficient and are usually time-wasting. Analysis of existing methods and related acts enabled the requirements of the specifications to be gathered, and this initiated the design and implementation of the project. The project was developed using the Agile methodology. Artificial Intelligence technology and modern internet technological tools which included NLTK-model (natural processing algorithm model), Sentiment Analyzer model, and Python programming language, respectively. This system was tested for accuracy, and human-interaction likeness. It is deployed on the Telegram messaging app, through Telegram API keys obtained on Botfather. The system effectively responds to queries and on time.},
 year = {2023}
}

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