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https://hdl.handle.net/1959.11/61488
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lo, Siaw Ling | en |
dc.contributor.author | Cornforth, David | en |
dc.contributor.author | Chiong, Raymond | en |
local.source.editor | Editor(s): Stephan K. Chalup, Alan D. Blair, and Marcus Randall | en |
dc.date.accessioned | 2024-07-10T01:07:28Z | - |
dc.date.available | 2024-07-10T01:07:28Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Artificial Life and Computational Intelligence, First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015, Proceedings, p. 323-336 | en |
dc.identifier.isbn | 9783319148038 | en |
dc.identifier.isbn | 9783319148021 | en |
dc.identifier.issn | 1611-3349 | en |
dc.identifier.issn | 0302-9743 | en |
dc.identifier.uri | https://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.language | en | en |
dc.publisher | Springer | en |
dc.relation.ispartof | Artificial Life and Computational Intelligence, First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015, Proceedings | en |
dc.relation.ispartofseries | Lecture Notes in Computer Science | en |
dc.title | Use of a High-Value Social Audience index for target audience identification on Twitter | en |
dc.type | Conference Publication | en |
dc.relation.conference | ACALCI 2015: Artificial Life and Computational Intelligence | en |
dc.identifier.doi | 10.1007/978-3-319-14803-8_25 | en |
local.contributor.firstname | Siaw Ling | en |
local.contributor.firstname | David | en |
local.contributor.firstname | Raymond | en |
local.profile.school | School of Science & Technology | en |
local.profile.email | rchiong@une.edu.au | en |
local.output.category | E1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.date.conference | 5th - 7th February, 2015 | en |
local.conference.place | Newcastle, NSW, Australia | en |
local.publisher.place | Switzerland | en |
local.format.startpage | 323 | en |
local.format.endpage | 336 | en |
local.series.number | 8955 | en |
local.peerreviewed | Yes | en |
local.contributor.lastname | Lo | en |
local.contributor.lastname | Cornforth | en |
local.contributor.lastname | Chiong | en |
dc.identifier.staff | une-id:rchiong | en |
local.profile.orcid | 0000-0002-8285-1903 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/61488 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Use of a High-Value Social Audience index for target audience identification on Twitter | en |
local.output.categorydescription | E1 Refereed Scholarly Conference Publication | en |
local.conference.details | ACALCI 2015: Artificial Life and Computational Intelligence, Newcastle, NSW, Australia, 5th - 7th February, 2015 | en |
local.search.author | Lo, Siaw Ling | en |
local.search.author | Cornforth, David | en |
local.search.author | Chiong, Raymond | en |
local.uneassociation | No | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.published | 2015 | en |
local.subject.for2020 | 4602 Artificial intelligence | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.date.moved | 2024-08-23 | en |
local.date.moved | 2024-08-30 | en |
local.date.moved | 2024-08-23 | en |
Appears in Collections: | Conference Publication School of Science and Technology |
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