Research Article
Artificial Intelligence for the Analysis of the Security Situation in Burkina Faso
@INPROCEEDINGS{10.1007/978-3-031-81573-7_14, author={Abdoul Fataoh Kabor\^{e} and Ma\~{n}mouna Ouattara and Rodrique Kafando and Aminata Saban\^{e} and Abdoul Kader Kabor\^{e} and Tegawend\^{e} F. Bissyand\^{e}}, title={Artificial Intelligence for the Analysis of the Security Situation in Burkina Faso}, proceedings={Towards new e-Infrastructure and e-Services for Developing Countries. 15th International Conference, AFRICOMM 2023, Bobo-Dioulasso, Burkina Faso, November 23--25, 2023, Proceedings, Part II}, proceedings_a={AFRICOMM PART 2}, year={2025}, month={2}, keywords={security situation web scraping artificial intelligence transformers}, doi={10.1007/978-3-031-81573-7_14} }- Abdoul Fataoh Kaboré
Maïmouna Ouattara
Rodrique Kafando
Aminata Sabané
Abdoul Kader Kaboré
Tegawendé F. Bissyandé
Year: 2025
Artificial Intelligence for the Analysis of the Security Situation in Burkina Faso
AFRICOMM PART 2
Springer
DOI: 10.1007/978-3-031-81573-7_14
Abstract
In the face of the insecurity caused by terrorism that Burkina Faso has been experiencing since 2015, the population doesn’t hesitate to express their feelings. The various reactions of the population are expressed through comments on different social platforms, thereby creating a significant amount of data. Analyzing these opinions can provide assistance in decision-making related to security. This analysis can be accomplished through techniques and methods offered by artificial intelligence (AI). In this article, we introduce a web scraping tool to gather data for our research. Subsequently, we employ sentiment analysis and hate speech detection models based on transformers [1]. Through this research, our contributions are as follows: establishing a textual database or corpus related to the security situation, proposing a methodological approach based on AI for analyzing this data, and suggesting a dashboard for visualizing the analysis results.
