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DC Field | Value | Language |
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dc.contributor.author | Lee, HJ | - |
dc.contributor.author | Lee, M | - |
dc.contributor.author | Lee, H | - |
dc.contributor.author | Cruz, RA | - |
dc.date.accessioned | 2020-12-29T13:53:44Z | - |
dc.date.available | 2020-12-29T13:53:44Z | - |
dc.date.issued | 2021-01-26 | - |
dc.identifier | 101571 | - |
dc.identifier.citation | Lee, H.J., Lee, M., Lee, H. and Cruz, RA. (2021) 'Mining service quality feedback from social media: A computational analytics method', Government Information Quarterly, 38 (2), 101571, pp. 1-11. doi: 10.1016/j.giq.2021.101571. | - |
dc.identifier.issn | 0740-624X | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/22038 | - |
dc.description.sponsorship | Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2020S1A3A2A02093277). | en_US |
dc.format.extent | 1 - 11 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 2021 Elsevier Inc. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.giq.2021.101571, archived on this repository under a Creative Commons CC BY-NC-ND attribution licence. | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | design science | en_US |
dc.subject | data mining | en_US |
dc.subject | social perceptions | en_US |
dc.subject | SERVQUAL | en_US |
dc.subject | sentiment analysis | en_US |
dc.subject | topic modelling | en_US |
dc.title | Mining service quality feedback from social media: A computational analytics method | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.giq.2021.101571 | - |
dc.relation.isPartOf | Government Information Quarterly | - |
pubs.issue | 2 | - |
pubs.publication-status | Published | - |
pubs.volume | 38 | - |
dc.identifier.eissn | 1872-9517 | - |
dc.rights.holder | Elsevier Inc. | - |
Appears in Collections: | Brunel Business School Research Papers |
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