DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorOtterbacher, Janna-
dc.contributor.authorMastorakis, Nikolaos-
dc.date.accessioned2024-11-21T11:43:00Z-
dc.date.available2024-11-21T11:43:00Z-
dc.date.issued2017-06-05-
dc.identifierscopus-85021360181-
dc.identifier.issn1551-7616-
dc.identifier.issn0094-243X-
dc.identifier.other85021360181-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2918-
dc.description.abstractIn this paper a novel content relatedness algorithm for social media content is proposed, based on the Explicit Semantic Analysis (ESA) technique. The proposed scheme takes into consideration social interactions. In particular starting from the vector space representation model, similarity is expressed by a summation of term weight products. In this paper, term weights are estimated by a social computing method, where the strength of each term is calculated by the attention the terms receives. For this reason each post is split into two parts, title and comments area, while attention is defined by the number of social interactions such as likes and shares. The overall approach is named Social Explicit Semantic Analysis. Experimental results on real data show the advantages and limitations of the proposed approach, while an initial comparison between ESA and S-ESA is very promising.en_US
dc.language.isoenen_US
dc.relation.ispartofAIP Conference Proceedingsen_US
dc.titleContent relatedness in the social web based on social explicit semantic analysisen_US
dc.typeConference Paperen_US
dc.relation.conference1st International Conference on Applied Mathematics and Computer Science, 27-29 January 2017, Rome, Italyen_US
dc.identifier.doi10.1063/1.4982008en_US
dc.identifier.scopus2-s2.0-85021360181-
dcterms.accessRights1en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume1836en_US
dc.relation.issue1en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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