Emotional Structure of Dialogues in Aging-Themed Movies: an Analysis on Text Mining

dc.contributor.author Ergun, Duygu
dc.contributor.author Takan, Savas
dc.contributor.author Katipoglu, Gokmen
dc.contributor.author Katipoğlu, Gökmen
dc.date.accessioned 2024-09-10T21:32:57Z
dc.date.available 2024-09-10T21:32:57Z
dc.date.issued 2024
dc.description Ergun, Duygu/0000-0002-5639-8615 en_US
dc.description.abstract Emotions play an important role in the process of media messages transforming the audience. In our study, starting from the question of what might be the dominant emotions in old age-themed cinema texts, it is aimed to obtain clues about how old age is constructed in cinema through these emotions and what kind of emotional structure about old age is imposed on the audience. In this direction, emotion analysis was applied to the dialogues of 379 old age-themed films shot in a period of 100 years to determine what kind of emotional structure is constructed in all old age-themed cinema texts. As a result, it was found that the most dominant emotion was anger and disgust. The findings were categorized according to three different periods (1920-1969, 1970-1999, 2000-2020) and interpreted in a descriptive approach in a historical perspective and within the framework of the cinemas of the in addition to the EU, Germany, France, the UK, and Japan, Turkish cinema to make a comparison, where the most old age films were made. It is expected that our study will set an example for text mining research in cinema and offer an alternative perspective to the discussions on the phenomenon of aging in cinema. en_US
dc.description.sponsorship With our thanks to Prof. Dr Oya Paker. en_US
dc.identifier.doi 10.1177/21582440241260502
dc.identifier.issn 2158-2440
dc.identifier.scopus 2-s2.0-85200222780
dc.identifier.uri https://doi.org/10.1177/21582440241260502
dc.identifier.uri https://hdl.handle.net/20.500.14411/7279
dc.language.iso en en_US
dc.publisher Sage Publications inc en_US
dc.relation.ispartof Sage Open
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject aging en_US
dc.subject cinema en_US
dc.subject text mining en_US
dc.subject emotion analysis en_US
dc.subject sociology of emotions en_US
dc.subject dialog en_US
dc.title Emotional Structure of Dialogues in Aging-Themed Movies: an Analysis on Text Mining en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Ergun, Duygu/0000-0002-5639-8615
gdc.author.scopusid 58099851400
gdc.author.scopusid 54586197500
gdc.author.scopusid 59242702100
gdc.author.wosid Ergün, Duygu/ABY-4494-2022
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Atılım University en_US
gdc.description.departmenttemp [Ergun, Duygu] Atilim Univ, Ankara, Turkiye; [Ergun, Duygu] Usak Univ, Usak, Turkiye; [Takan, Savas] Ankara Univ, Ankara, Turkiye; [Katipoglu, Gokmen] Kars Kafkas Univ, Kars, Turkiye; [Ergun, Duygu] Fac Commun, Dept Radio TV & Cinema, TR-64200 Usak, Turkiye en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.volume 14 en_US
gdc.description.woscitationindex Social Science Citation Index
gdc.description.wosquality Q1
gdc.identifier.openalex W4401194376
gdc.identifier.wos WOS:001282364300001
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.accesstype GOLD
gdc.oaire.diamondjournal false
gdc.oaire.impulse 1.0
gdc.oaire.influence 2.3871183E-9
gdc.oaire.isgreen false
gdc.oaire.keywords H
gdc.oaire.keywords AZ20-999
gdc.oaire.keywords Social Sciences
gdc.oaire.keywords History of scholarship and learning. The humanities
gdc.oaire.popularity 2.9474758E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0508 media and communications
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 0501 psychology and cognitive sciences
gdc.openalex.collaboration National
gdc.openalex.fwci 3.8961
gdc.openalex.normalizedpercentile 0.93
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 0
gdc.plumx.mendeley 9
gdc.plumx.newscount 1
gdc.plumx.scopuscites 1
gdc.scopus.citedcount 1
gdc.wos.citedcount 1
relation.isOrgUnitOfPublication 50be38c5-40c4-4d5f-b8e6-463e9514c6dd
relation.isOrgUnitOfPublication.latestForDiscovery 50be38c5-40c4-4d5f-b8e6-463e9514c6dd

Files

Collections