DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chantavaridou, Elisavet | - |
dc.contributor.author | Kapidakis, Sarantos | - |
dc.date.accessioned | 2024-10-09T13:08:16Z | - |
dc.date.available | 2024-10-09T13:08:16Z | - |
dc.date.issued | 2023-12-31 | - |
dc.identifier.issn | 2623-4629 | - |
dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/2802 | - |
dc.description.abstract | Purpose - The present work discusses findings of a research on Twitter data of the two politicians running for Prime Minister, as well as their press secretaries, during the pre-election period of May 2023 in Greece. Design/methodology/approach – We collected the tweets that were posted by the two main candidates running for Prime Minister in Greece, as well as their press secretaries, during the pre-election period of May 2023. Lemmatization was performed on the four sets of tweets as well as sentiment analysis using SentiStrength for Greek, a sentiment dictionary that was developed for Greek political short text/ tweets. Findings – Results revealed the importance of positive sentiment when posting on Twitter; they also revealed the different approaches of mentioning people vs locations of the two politicians that were running for Prime Minister. Originality/value – Writing positive tweets during a pre-election period can lead to victory in Greece. Focusing excessively on the opponent and other political figures is not a way to win voters in Greece in 2023. Instead, making references to geographic locations in Greece is preferred. Furthermore, SentiStrength for Greek is used for the first time. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of West Attica | en_US |
dc.relation.ispartof | International Journal on Integrated Information Management | en_US |
dc.subject | Political tweets | en_US |
dc.subject | Lemmatization | en_US |
dc.subject | Greek language | en_US |
dc.subject | Data visualization | en_US |
dc.subject | Sentiment analysis | en_US |
dc.title | Lemmatization and sentiment analysis of Greek political tweets during the pre-election period of 2023 | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.26265/jiim.v8i2.37820 | en_US |
dc.relation.dept | Department of Archival, Library and Information Studies | en_US |
dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
dc.relation.volume | 8 | en_US |
dc.relation.issue | 2 | en_US |
dc.identifier.spage | 37 | en_US |
dc.identifier.epage | 43 | en_US |
dc.collaboration | University of West Attica (UNIWA) | en_US |
dc.subject.field | Social Sciences | en_US |
dc.journals | Open Access | en_US |
dc.publication | Peer Reviewed | en_US |
dc.country | Greece | en_US |
local.metadatastatus | verified | en_US |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.openairetype | Article | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | Department of Archival, Library and Information Studies | - |
crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
crisitem.author.orcid | 0000-0002-8723-0276 | - |
crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
Appears in Collections: | Articles / Άρθρα |
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