WCSE

Sentiment Analysis of LMS Users Using Support Vector Algorithm

Abstract— This Higher education institutions are now being transformed by digital technologies in terms of administrative operations and delivery of instruction using learning management systems (LMS). This study aims to determine and understand the faculty and students’ perceptions, experiences, expectations and concerns regarding educational uses of learning management systems (LMS). Qualitative research method was used to better understand the faculty and students’ perceptions, expectations and concerns about LMS, responses from two (2) open-ended online survey questions was used as a primary source of data. For the statistical method which is also embedded in the processing technique, Support Vector Machine was used to validate the correctly classified instances. The study reveals that faculty and students exhibited positive perceptions in practicing and using learning management systems while the biggest expectations of faculty and students are assessment feature, discussion, accessibility, interface and hardware and software. The result of this study reveals that the perception achieved an average accuracy of 91.8182 %. Based on the findings of expectations and concerns, LMS must consider assessment feature, discussion, accessibility, interface and hardware and software to be an effective e- learning tools.

Index Terms— Learning Management Systems; Sentiment Analysis; Support Vector Machine

Josephine Dela Cruz
University of the Cordilleras, PHILIPPINES
Evelyn M. Baesa, Rosemarie T. Bigueras, Daniel E. Maligat Jr., Jocelyn O. Torio
ICS Department, Camarines Norte State College, PHILIPPINES

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Cite: Evelyn M. Baesa, Rosemarie T. Bigueras, Josephine Dela Cruz, Daniel E. Maligat Jr., Jocelyn O. Torio, "Sentiment Analysis of LMS Users Using Support Vector Algorithm," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, pp. 288-294, Hong Kong, 15-17 June, 2019.