—The paper promotes adoption of Opinion Mining in the faculty performance evaluation system by the students using Naïve Bayes algorithm. The study may help the university administrators to identify the strengths and weaknesses of the faculty members based on the textual evaluation made by the students written either in English or in Filipino language. The system provides graphical representation of the evaluation result in pie chart with the percentage of positive and negative feedback of the students. Based on the result of the survey, the respondents highly recommend the proposed system. Thus, the school administrators and educators will be more aware about the sentiments and concerns of the students. The reports generated from the developed system could be utilized to enhance the performance of the concerned faculty. In addition, the output from the objective evaluation of the teacher’s performance could also be used as a basis for merit, awards, and/or promotion. Furthermore, the said innovation may encourage as well as improve fact-based decision making for university stakeholders.
—Naïve Bayes algorithm, opinion mining, performance evaluation system.
Francis F. Balahadia is with the National University, Philippines (e-mail: firstname.lastname@example.org).
Benilda Eleonor V. Comendador is with the Polytechnic University of the Philippines (e-mail: email@example.com).
Cite:Francis F. Balahadia and Benilda Eleonor V. Comendador, "Adoption of Opinion Mining in the Faculty Performance Evaluation System by the Students Using Naïve Bayes Algorithm," International Journal of Computer Theory and Engineering vol. 8, no. 3, pp. 255-259, 2016.