Data Analysis of the Authenticity of the National Anthems and Turkish National Anthem

Günay Kılıç; İbrahim Budak; Selçuk Burak Haşıloğlu

Makale detayları

Data Analysis of the Authenticity of the National Anthems and Turkish National Anthem

Yazarlar:

Günay Kılıç | İbrahim Budak | Selçuk Burak Haşıloğlu

Yayıncı:

Pamukkale University

Dergi:

Pamukkale Üniversitesi İşletme Araştırmaları Dergisi Vol.10 Issue 1-Prof. Dr. Feyzullah EROĞLU Armağan Sayısı, pp.96-109

Belge Tipi:

Makale

Yayın Tarihi:

5/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001290287

pISSN:

2757-7260

Anahtar kelimeler:

Özet:

 National anthems are one of the indicators of independence of countries and talk about the sense of independence of countries. In this study, the National Anthem of the Republic of Turkey, Turkish National Anthem, is analyzed by data mining techniques. While analyzing Turkish National Anthem, the anthems of the member states of the Turkic Council with which they have a common language tie, the anthems of the member states of the Organization of Islamic Cooperation, which are thought to have common religious values, and the anthems of the European Union Member States, since Turkey is a European country, were included in the analysis. The analysis includes cluster analysis and association analysis techniques in terms of data mining. In terms of text mining, the similarities of Turkish National Anthem and other national anthems were examined in terms of word size, title size and sentiment analysis. As a result of the analysis, all the country anthems that were compared in one cluster, whose data were calculated as two clusters by cluster analysis, were included, while Turkish National Anthem took place alone in the other cluster. This is an important indicator in revealing the originality of Turkish National Anthem. Again, the analyzes in 3 dimensions under the title of text mining did not reveal a similarity between Turkish National Anthem and the national anthems compared. The results of the association analysis are important in terms of showing the use of common words and words in national anthems together.

 National anthems are one of the indicators of independence of countries and talk about the sense of independence of countries. In this study, the National Anthem of the Republic of Turkey, Turkish National Anthem, is analyzed by data mining techniques. While analyzing Turkish National Anthem, the anthems of the member states of the Turkic Council with which they have a common language tie, the anthems of the member states of the Organization of Islamic Cooperation, which are thought to have common religious values, and the anthems of the European Union Member States, since Turkey is a European country, were included in the analysis. The analysis includes cluster analysis and association analysis techniques in terms of data mining. In terms of text mining, the similarities of Turkish National Anthem and other national anthems were examined in terms of word size, title size and sentiment analysis. As a result of the analysis, all the country anthems that were compared in one cluster, whose data were calculated as two clusters by cluster analysis, were included, while Turkish National Anthem took place alone in the other cluster. This is an important indicator in revealing the originality of Turkish National Anthem. Again, the analyzes in 3 dimensions under the title of text mining did not reveal a similarity between Turkish National Anthem and the national anthems compared. The results of the association analysis are important in terms of showing the use of common words and words in national anthems together.

 National anthems are one of the indicators of independence of countries and talk about the sense of independence of countries. In this study, the National Anthem of the Republic of Turkey, Turkish National Anthem, is analyzed by data mining techniques. While analyzing Turkish National Anthem, the anthems of the member states of the Turkic Council with which they have a common language tie, the anthems of the member states of the Organization of Islamic Cooperation, which are thought to have common religious values, and the anthems of the European Union Member States, since Turkey is a European country, were included in the analysis. The analysis includes cluster analysis and association analysis techniques in terms of data mining. In terms of text mining, the similarities of Turkish National Anthem and other national anthems were examined in terms of word size, title size and sentiment analysis. As a result of the analysis, all the country anthems that were compared in one cluster, whose data were calculated as two clusters by cluster analysis, were included, while Turkish National Anthem took place alone in the other cluster. This is an important indicator in revealing the originality of Turkish National Anthem. Again, the analyzes in 3 dimensions under the title of text mining did not reveal a similarity between Turkish National Anthem and the national anthems compared. The results of the association analysis are important in terms of showing the use of common words and words in national anthems together.

 Milli marşlar ülkelerin bağımsızlık göstergelerinden biridir ve ülkelerin bağımsızlık duygusundan bahseder. Bu çalışmada Türkiye Cumhuriyeti milli marşı İstiklal Marşının veri analizi yapılmıştır. İstiklal Marşı analiz edilirken ortak dil bağının bulunduğu Türk Keneşi üye ülke marşları, ortak dini değerleri bulunduğu düşünülen İslam İş Birliği Teşkilatı üye ülke marşları ve Türkiyenin bir Avrupa ülkesi olmasından ötürü Avrupa Birliği Üye ülkelerinin marşları analize dahil edilmiştir. Analiz veri madenciliği açısından kümeleme analizi ve birliktelik analizini tekniklerini içermektedir. Metin madenciliği açısından ise kelime boyutunda, başlık boyutunda ve duygu analizi boyutunda İstiklal Marşı ve diğer milli marşların benzerlikleri incelenmiştir. Analiz sonucunda kümeleme analizi ile veriler iki küme olarak hesaplanmış bir kümede karşılaştırılan tüm ülke marşları yer alırken İstiklal Marşı diğer kümede tek başına yer almıştır. Bu İstiklal Marşının özgünlüğünü ortaya koymada önemli bir göstergedir. Yine metin madenciliği başlığı altındaki 3 boyuttaki analizler İstiklal Marşı ile karşılaştırılan milli marşlar arasında bir benzerlik ortaya koyamamıştır. Birliktelik analizi sonuçları ise milli marşlardaki ortak kelimelerin ve kelimelerin birlikte kullanımını göstermesi açısından önemlidir.

Makale detayları

Data Analysis of the Authenticity of the National Anthems and Turkish National Anthem

Yazarlar:

Günay Kılıç | İbrahim Budak | Selçuk Burak Haşıloğlu

Yayıncı:

Pamukkale University

Dergi:

Pamukkale Üniversitesi İşletme Araştırmaları Dergisi Vol.10 Issue 1-Prof. Dr. Feyzullah EROĞLU Armağan Sayısı, pp.96-109

Belge Tipi:

Makale

Yayın Tarihi:

5/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001290287

pISSN:

2757-7260

National anthems

Latent Dirichlet Allocation

Sentiment Analysis

Cluster Analysis

Association Rule AnalysisMilli marşlar

Gizli Ayırma Tahsisi

Duygu Analizi

Kümeleme Analizi

Birliktelik Analizi

Sayı

Makale detayları

Yazarlar: Günay Kılıç | İbrahim Budak | Selçuk Burak Haşıloğlu

Yayıncı: Pamukkale University

Dergi: Pamukkale Üniversitesi İşletme Araştırmaları Dergisi Vol.10 Issue 1-Prof. Dr. Feyzullah EROĞLU Armağan Sayısı, pp.96-109

Belge Tipi: Makale

Yayın Tarihi: 5/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001290287

pISSN: 2757-7260

Sayı

Yazarlar:

Günay Kılıç | İbrahim Budak | Selçuk Burak Haşıloğlu

Yayıncı:

Pamukkale University

Dergi:

Pamukkale Üniversitesi İşletme Araştırmaları Dergisi Vol.10 Issue 1-Prof. Dr. Feyzullah EROĞLU Armağan Sayısı, pp.96-109

Belge Tipi:

Makale

Yayın Tarihi:

5/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001290287

pISSN:

2757-7260