Sentiment discovery and analysis as a mean of student experience improvement

Grljevic Olivera, Zita Bosnjak

Sentiment discovery and analysis as a mean of student experience improvement

Číslo: 1/2017
Periodikum: Perspectives of Innovations, Economics and Business
DOI: 10.15208/pieb.2017.04

Klíčová slova: Sentiment analysis, higher education, data mining, Analýza sentimentu, vysokoškolské vzdělání, dolování dat

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Anotace: Sentiment analysis has found broad usage helping institutions to better understand the choices, intentions, and behaviors of an individual acting as a buyer, consumer or service user. However its utilization in the domain of higher education is scarce. Therefore, the paper provides an insight into most relevant research and diversified applications of sentiment analysis in higher education, describing its unexploited potentials and benefits, such as leveraging students’ attraction/retention, evaluating the institution’s competitiveness or tracking performance indicators over time.