Publicação
Improving international attractiveness of higher education institutions based on text mining and sentiment analysis
| Resumo: | 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. The purpose of this paper is 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 analysing such information manually. The present paper uses text mining (TM) and sentiment analysis (SA) to study online reviews of IS about their HEIs. The paper studied 1938 reviews from 65 different business schools with Association to Advance Collegiate Schools of Business 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 focussed 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 TM and SA 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. |
|---|---|
| Autores principais: | Santos, Carolina Leana |
| Outros Autores: | Rita, Paulo; Guerreiro, João |
| Assunto: | Higher education International student mobility Sentiment analysis Text mining Topic modelling Education Organizational Behavior and Human Resource Management |
| Ano: | 2018 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1865920609919172608 |
|---|---|
| author | Santos, Carolina Leana |
| author2 | Rita, Paulo Guerreiro, João |
| author2_role | author author |
| author_facet | Santos, Carolina Leana Santos, Carolina Leana Rita, Paulo Guerreiro, João Rita, Paulo Guerreiro, João |
| author_role | author |
| contributor_name_str_mv | NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School Associação Portuguesa para o Estudo do Quaternário (APEQ) RUN |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Santos, Carolina Leana\"},{\"Person.name\":\"Rita, Paulo\"},{\"Person.name\":\"Guerreiro, João\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School Associação Portuguesa para o Estudo do Quaternário (APEQ) RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Santos, Carolina Leana Rita, Paulo Guerreiro, João |
| datacite.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2022-12-07T22:06:17Z |
| datacite.date.embargoed.fl_str_mv | 2022-12-07T22:06:17Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Higher education International student mobility Sentiment analysis Text mining Topic modelling Education Organizational Behavior and Human Resource Management |
| datacite.titles.title.fl_str_mv | Improving international attractiveness of higher education institutions based on text mining and sentiment analysis |
| dc.contributor.none.fl_str_mv | NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School Associação Portuguesa para o Estudo do Quaternário (APEQ) RUN |
| dc.creator.none.fl_str_mv | Santos, Carolina Leana Rita, Paulo Guerreiro, João |
| dc.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2022-12-07T22:06:17Z |
| dc.date.embargoed.fl_str_mv | 2022-12-07T22:06:17Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/146060 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Higher education International student mobility Sentiment analysis Text mining Topic modelling Education Organizational Behavior and Human Resource Management |
| dc.title.fl_str_mv | Improving international attractiveness of higher education institutions based on text mining and sentiment analysis |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | 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. The purpose of this paper is 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 analysing such information manually. The present paper uses text mining (TM) and sentiment analysis (SA) to study online reviews of IS about their HEIs. The paper studied 1938 reviews from 65 different business schools with Association to Advance Collegiate Schools of Business 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 focussed 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 TM and SA 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/029e667e-42d9-4bcb-b984-58aaa0ad3b40/download |
| id | run_3065a804ebaf5372d39b72f0e47bf521 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/146060 |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/146060 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Santos, Carolina Leana Rita, Paulo Guerreiro, João |
| publishDate | 2018 |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engenPurpose: 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. The purpose of this paper is 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 analysing such information manually. The present paper uses text mining (TM) and sentiment analysis (SA) to study online reviews of IS about their HEIs. The paper studied 1938 reviews from 65 different business schools with Association to Advance Collegiate Schools of Business 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 focussed 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 TM and SA 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.application/pdfenImproving international attractiveness of higher education institutions based on text mining and sentiment analysisSantos, Carolina LeanaRita, PauloGuerreiro, JoãoNOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolAssociação Portuguesa para o Estudo do Quaternário (APEQ)HostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptISSNIsPartOf0951-354XURNIsPartOfPURE: 5819082URNIsPartOfPURE UUID: c73c859c-eda4-4288-9e40-7ef6e2219e75URNIsPartOfScopus: 85045695822URNIsPartOfWOS: 000430192200007URNIsPartOfORCID: /0000-0001-6050-9958/work/151407766DOIIsPartOf10.1108/IJEM-01-2017-00272022-12-07T22:06:17Z2018-01-012018-01-01T00:00:00ZHandlehttp://hdl.handle.net/10362/146060http://purl.org/coar/access_right/c_abf2open accessHigher educationInternational student mobilitySentiment analysisText miningTopic modellingEducationOrganizational Behavior and Human Resource Management484584 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/029e667e-42d9-4bcb-b984-58aaa0ad3b40/download |
| spellingShingle | Improving international attractiveness of higher education institutions based on text mining and sentiment analysis Improving international attractiveness of higher education institutions based on text mining and sentiment analysis Santos, Carolina Leana Higher education International student mobility Sentiment analysis Text mining Topic modelling Education Organizational Behavior and Human Resource Management Santos, Carolina Leana Higher education International student mobility Sentiment analysis Text mining Topic modelling Education Organizational Behavior and Human Resource Management |
| status | NEW |
| subject.fl_str_mv | Higher education International student mobility Sentiment analysis Text mining Topic modelling Education Organizational Behavior and Human Resource Management |
| title | Improving international attractiveness of higher education institutions based on text mining and sentiment analysis |
| title_full | Improving international attractiveness of higher education institutions based on text mining and sentiment analysis |
| title_fullStr | Improving international attractiveness of higher education institutions based on text mining and sentiment analysis Improving international attractiveness of higher education institutions based on text mining and sentiment analysis |
| title_full_unstemmed | Improving international attractiveness of higher education institutions based on text mining and sentiment analysis Improving international attractiveness of higher education institutions based on text mining and sentiment analysis |
| title_short | Improving international attractiveness of higher education institutions based on text mining and sentiment analysis |
| title_sort | Improving international attractiveness of higher education institutions based on text mining and sentiment analysis |
| topic | Higher education International student mobility Sentiment analysis Text mining Topic modelling Education Organizational Behavior and Human Resource Management |
| topic_facet | Higher education International student mobility Sentiment analysis Text mining Topic modelling Education Organizational Behavior and Human Resource Management |
| url | http://hdl.handle.net/10362/146060 |
| visible | 1 |