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Volume 17
Issue 1
Online publication date 2017-04-10
Title Sentiment discovery and analysis as a mean of student experience improvement
Author Grljevic Olivera, Zita Bosnjak
Abstract
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.
Key words:  Sentiment analysis, higher education, data mining.
Citation
References

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Keywords Sentiment analysis, higher education, data mining
DOI http://dx.doi.org/10.15208/pieb.2017.05
Pages 52-60
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