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Title: Improving international attractiveness of higher education institutions based on text mining and sentiment analysis
Authors: Santos, C. L.
Rita, P.
Guerreiro, J.
Keywords: Higher education
Sentiment analysis
Text mining
International student mobility
Topic modelling
Issue Date: 2018
Publisher: Emerald
Abstract: Purpose: The increasing competition among higher education institutions (HEI) has led students to conduct a more in-depth analysis to choose where to study abroad. Since students are usually unable to visit each HEIs before making their decision, they are strongly influenced by what is written by former international students (IS) on the Internet. HEIs also benefit from such information online. This paper aims to provide an understanding of the drivers of HEIs success online. Design/methodology/approach: Due to the increasing amount of information published online, HEIs have to use automatic techniques to search for patterns instead of analyzing such information manually. The present paper uses text mining and sentiment analysis to study online reviews of IS about their HEIs. The paper studied 1938 reviews from 65 different business schools with AACSB accreditation. Findings: Results show that HEIs may become more attractive online if they financially support students cost of living, provide courses in English, and promote an international environment. Research limitations/implications Despite the use of a major platform with a broad number of reviews from students around the world, other sources focused on other types of HEIs may have been used to reinforce the findings in the current paper. Originality/value: The study pioneers the use of text mining and sentiment analysis to highlight topics and sentiments mentioned in online reviews by students attending HEIs, clarifying how such opinions are correlated with satisfaction. Using such information, HEIs’ managers may focus their efforts on promoting international attractiveness of their institutions.
Peer reviewed: yes
DOI: 10.1108/IJEM-01-2017-0027
ISSN: 0951-354X
Accession number: WOS:000430192200007
Appears in Collections:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica
CIS-RI - Artigos em revistas científicas internacionais com arbitragem científica

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