Work

Sentiment discovery and analysis as a mean of student experience improvement

Year: 2018

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

Authors: Grljević, Olivera, Bošnjak, Zita

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W7224726011

FWCI:

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Related to: 10