Sentiment Analysis of the Academic Services of ESSU Salcedo Campus using Plutchik Model And Latent Dirichlet Allocation Algorithm
Hershey R. Alburo1, Cherry Lyn C. Sta. Romana2, Larmie S. Feliscuzo3

1Hershey R. Alburo*, Eastern Samar State University, Salcedo Campus,. Salcedo Eastern Samar, Philippines.
2Cherry Lyn C. Sta. Romana, Cebu Institute of Technology-University, Cebu City.
3Lsrmie S. Feliscuzo, Cebu Institute of Technology-University, Cebu City.

Manuscript received on February 16, 2021. | Revised Manuscript received on March 08, 2021. | Manuscript published on March 30, 2021. | PP: 11-19 | Volume-9 Issue-6, March 2021. | Retrieval Number: 100.1/ijrte.F5364039621 | DOI: 10.35940/ijrte.A5966.0510121
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The continuous pursuit of quality education has always been a concern of higher institutions. This can be seen in the way university teachers deliver academic services to the students in terms of professionalism, commitment, knowledge of the subject matter, teaching for independent learning, and management of learning. Students as recipients of these services are significant sources of information about their course interaction that takes place in an educational system. Utilizing Latent Dirichlet Allocation (LDA) algorithm and sentiment analysis through NRC emotion lexicons based on Plutchik Model, this study aimed to decipher students’ sentiments of the academic services and reveal commonalities contained in their qualitative responses. Results revealed five latent themes in the students’ responses as: The Disparity of Teaching Assignment to Professors Field of Expertise, Professors’ Expression of Willingness to Help Students in School-Related Matters, Desirable Traits Portrayed by a Professional Teacher, Professor’s Commitment and Dedication to Classroom Instruction, and Enhancement of Teaching Practices to Improve Quality of Academic Services. The results also suggest that majority of the students have a positive sentiments (64.42%), some of were negative (34.62%), and very few were neutral (0.95%). This study aimed to give inputs to any academic interventions undertaken by institution.
Keywords: LDA, Sentiment Analysis, Plutchik, Academic Services, ESSU Salcedo, Philippines.