Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61488
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dc.contributor.authorLo, Siaw Lingen
dc.contributor.authorCornforth, Daviden
dc.contributor.authorChiong, Raymonden
local.source.editorEditor(s): Stephan K. Chalup, Alan D. Blair, and Marcus Randallen
dc.date.accessioned2024-07-10T01:07:28Z-
dc.date.available2024-07-10T01:07:28Z-
dc.date.issued2015-
dc.identifier.citationArtificial Life and Computational Intelligence, First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015, Proceedings, p. 323-336en
dc.identifier.isbn9783319148038en
dc.identifier.isbn9783319148021en
dc.identifier.issn1611-3349en
dc.identifier.issn0302-9743en
dc.identifier.urihttps://hdl.handle.net/1959.11/61488-
dc.description.abstract<p>With the large and growing user base of social media, it is not an easy feat to identify potential customers for business. This is mainly due to the challenge of extracting commercially viable contents from the vast amount of free-form conversations. In this paper, we analyse the Twitter content of an account owner and its list of followers through various text mining methods and segment the list of followers via an index. We have termed this index as the High-Value Social Audience (HVSA) index. This HVSA index enables a company or organisation to devise their marketing and engagement plan according to available resources, so that a high-value social audience can potentially be transformed to customers, and hence improve the return on investment.</p>en
dc.languageenen
dc.publisherSpringeren
dc.relation.ispartofArtificial Life and Computational Intelligence, First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015, Proceedingsen
dc.relation.ispartofseriesLecture Notes in Computer Scienceen
dc.titleUse of a High-Value Social Audience index for target audience identification on Twitteren
dc.typeConference Publicationen
dc.relation.conferenceACALCI 2015: Artificial Life and Computational Intelligenceen
dc.identifier.doi10.1007/978-3-319-14803-8_25en
local.contributor.firstnameSiaw Lingen
local.contributor.firstnameDaviden
local.contributor.firstnameRaymonden
local.profile.schoolSchool of Science & Technologyen
local.profile.emailrchiong@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference5th - 7th February, 2015en
local.conference.placeNewcastle, NSW, Australiaen
local.publisher.placeSwitzerlanden
local.format.startpage323en
local.format.endpage336en
local.series.number8955en
local.peerreviewedYesen
local.contributor.lastnameLoen
local.contributor.lastnameCornforthen
local.contributor.lastnameChiongen
dc.identifier.staffune-id:rchiongen
local.profile.orcid0000-0002-8285-1903en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/61488en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleUse of a High-Value Social Audience index for target audience identification on Twitteren
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsACALCI 2015: Artificial Life and Computational Intelligence, Newcastle, NSW, Australia, 5th - 7th February, 2015en
local.search.authorLo, Siaw Lingen
local.search.authorCornforth, Daviden
local.search.authorChiong, Raymonden
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2015en
local.subject.for20204602 Artificial intelligenceen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-08-23en
local.date.moved2024-08-30en
local.date.moved2024-08-23en
Appears in Collections:Conference Publication
School of Science and Technology
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