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Lemmatization and sentiment analysis of Greek political tweets during the pre-election period of 2023

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Πανεπιστήμιο Δυτικής Αττικής (ΠΑ.Δ.Α.)   

Αποθετήριο :
Journal of Integrated Information Management  | ΕΚΤ eJournals   

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Lemmatization and sentiment analysis of Greek political tweets during the pre-election period of 2023 (EN)
Chantavaridou, Elisavet
Kapidakis, Sarantos
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article (EN)
2023-12-31
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)
sentiment analysis (EN)
Greek language (EN)
Political tweets (EN)
lemmatization (EN)
data visualization (EN)
Αγγλική γλώσσα
Τμήμα Αρχειονομίας, Βιβλιοθηκονομίας & Συστημάτων Πληροφόρησης, Σχολή Διοικητικών, Οικονομικών & Κοινωνικών Επιστημών, Πανεπιστήμιο Δυτικής Αττικής (EN)
2623-4629
Journal of Integrated Information Management; Vol. 8 No. 2 (2023): Jul-Dec 2023; 37-43 (EN)
https://creativecommons.org/licenses/by-nc/4.0
Copyright (c) 2023 Elisavet Chantavaridou, Sarantos Kapidakis (EN)
Πανεπιστήμιο Δυτικής Αττικής (ΠΑ.Δ.Α.)
Journal of Integrated Information Management
Research Articles



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