Volume 41, Issue 2, December 2023, Pages 460–468
N’Guessan Behou Gérard1, Assie Brou Ida2, Kone Tiémoman3, and M Achiepo Odilon Yapo4
1 Virtual University of , Research and Digital Expertise Unit, Abidjan, Côte d’Ivoi, Côte d’Ivoire
2 Felix Houphouet-Bouagny University, Abidjan, Côte d’Ivoire
3 Virtual University of , Research and Digital Expertise Unit, Abidjan, Côte d’Ivoi, Côte d’Ivoire
4 Virtual University of , Research and Digital Expertise Unit, Abidjan, Côte d’Ivoi, Côte d’Ivoire
Original language: English
Copyright © 2023 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Judgments made on a subject by certain people can take various forms. In the case of the covid-19 crisis, certain opinions on the vaccine for this pandemic have generated a lot of comments of various kinds. Unfortunately, some of them have some side effects that vary from person to person. This phenomen on creates then feelings of caution in the population not yet vaccinated. The objective of this article is to propose a model allowing us to analyze and understand the characteristics of the categories of people who made these comments. This model identifies individuals based on the classes of comments issued. It is based on a hybrid approach combining the multinomial logistic model and a genetic model. An application is made on the data of the comments of the Covid-19 in Côte d’Ivoire.
Author Keywords: Multinomial logistic model, Genetic model, Commentary, Automatic classification, Covid-19.
N’Guessan Behou Gérard1, Assie Brou Ida2, Kone Tiémoman3, and M Achiepo Odilon Yapo4
1 Virtual University of , Research and Digital Expertise Unit, Abidjan, Côte d’Ivoi, Côte d’Ivoire
2 Felix Houphouet-Bouagny University, Abidjan, Côte d’Ivoire
3 Virtual University of , Research and Digital Expertise Unit, Abidjan, Côte d’Ivoi, Côte d’Ivoire
4 Virtual University of , Research and Digital Expertise Unit, Abidjan, Côte d’Ivoi, Côte d’Ivoire
Original language: English
Copyright © 2023 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Judgments made on a subject by certain people can take various forms. In the case of the covid-19 crisis, certain opinions on the vaccine for this pandemic have generated a lot of comments of various kinds. Unfortunately, some of them have some side effects that vary from person to person. This phenomen on creates then feelings of caution in the population not yet vaccinated. The objective of this article is to propose a model allowing us to analyze and understand the characteristics of the categories of people who made these comments. This model identifies individuals based on the classes of comments issued. It is based on a hybrid approach combining the multinomial logistic model and a genetic model. An application is made on the data of the comments of the Covid-19 in Côte d’Ivoire.
Author Keywords: Multinomial logistic model, Genetic model, Commentary, Automatic classification, Covid-19.
How to Cite this Article
N’Guessan Behou Gérard, Assie Brou Ida, Kone Tiémoman, and M Achiepo Odilon Yapo, “Model for identifying the characteristics of an individual from a class of comments,” International Journal of Innovation and Applied Studies, vol. 41, no. 2, pp. 460–468, December 2023.
