Home⇛International Journal of Multidisciplinary: Applied Business and Education Research⇛vol. 7 no. 5 (2026)

Faculty Evaluation Decision Based System with Sentiments Analysis using Naïve Bayes Algorithm

Rowell C. Santos | Clarissa P. Vicente

Discipline: Artificial Intelligence

 

Abstract:

In the educational setting, the core element of education is the quality of instruction. This is truly evident as instruction has been one separate area in terms of educational and program accreditations. The main cat- alyst of instruction is the performance of teachers in terms of providing quality education. To evaluate faculty members, most academic institu- tions are using a standard instrument. The evaluation questionnaire consists of quantitative and qualitative questions. The quantitative question is typically answered using the Likert scale model. However, open feedback, typically, is not included in the performance evaluation or appraisal due to a lack of automated text analytics methods. The cre- ation of a Faculty Evaluation Decision Based System with Sentiments Analysis using Naïve Bayes Algorithm provides a more comprehensive understanding of the teacher's evaluation ratings. Evolutionary Proto- typing Model was used as a software methodology which provides sys- tematic and controlled procedures for building iterative prototypes. The model consists of four phases, which include, identification, design, construction or building, and evaluation. The overall rating of the re- spondents using the ISO/IEC 25010, or the Software Product Quality Model Criteria is 4.82 numerical rating with an interpretation of very acceptable. As observed all criteria are rated very acceptable which in- dicates a high standard has been set in the development of the system. The Naïve Bayes algorithm successfully categorized comments into negative and positive classifications. Mapping Analysis based on the evaluation results of the system was successfully embedded into the System.



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