Text Mining and Data Visualization Analyis: IBC Example

Deniz Yıldız

Makale detayları

Text Mining and Data Visualization Analyis: IBC Example

Yazarlar:

Deniz Yıldız

Yayıncı:

Manisa Celal Bayar University

Ana Başlıklar:

Bilgi Modelleme | Yönetim ve Ontolojiler

Dergi:

Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi Vol.23 Issue 1, pp.53-67

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001344032

pISSN:

1304-4796

Anahtar kelimeler:

Özet:

 International Business Congress IBC, one of the most established and institutional congresses in the field of social sciences, has been bringing together many scientists every year since 2001. The aim of this study is to analyze the extended summary studies in the proceedings of the International Business Congress held between 2019 and 2023 with text mining and data visualization method. In this context, the pdf files of the proceedings books from 2019 to 2023 were analyzed and visualized in different ways with the help of the R-Studio program. The originality of the study is the integration of text mining and data visualization into the field of social sciences. The main theme used in the analysis was the frequency of use of the concepts pandemic, covid-19, green, digital, entrepreneurship, innovation, sustainability, leadership, organizational, crisis, corporate, industry 4.0, gender and inequality in congresses between 2019 and 2023. The reason why these words were chosen as the main theme is that they are the most frequently used meaningful words as a result of the frequency analysis made in the proceedings books. According to the findings, it was observed that there was a connection between the themes of the studies and the social situations experienced.

 International Business Congress IBC, one of the most established and institutional congresses in the field of social sciences, has been bringing together many scientists every year since 2001. The aim of this study is to analyze the extended summary studies in the proceedings of the International Business Congress held between 2019 and 2023 with text mining and data visualization method. In this context, the pdf files of the proceedings books from 2019 to 2023 were analyzed and visualized in different ways with the help of the R-Studio program. The originality of the study is the integration of text mining and data visualization into the field of social sciences. The main theme used in the analysis was the frequency of use of the concepts pandemic, covid-19, green, digital, entrepreneurship, innovation, sustainability, leadership, organizational, crisis, corporate, industry 4.0, gender and inequality in congresses between 2019 and 2023. The reason why these words were chosen as the main theme is that they are the most frequently used meaningful words as a result of the frequency analysis made in the proceedings books. According to the findings, it was observed that there was a connection between the themes of the studies and the social situations experienced.

 International Business Congress IBC, one of the most established and institutional congresses in the field of social sciences, has been bringing together many scientists every year since 2001. The aim of this study is to analyze the extended summary studies in the proceedings of the International Business Congress held between 2019 and 2023 with text mining and data visualization method. In this context, the pdf files of the proceedings books from 2019 to 2023 were analyzed and visualized in different ways with the help of the R-Studio program. The originality of the study is the integration of text mining and data visualization into the field of social sciences. The main theme used in the analysis was the frequency of use of the concepts pandemic, covid-19, green, digital, entrepreneurship, innovation, sustainability, leadership, organizational, crisis, corporate, industry 4.0, gender and inequality in congresses between 2019 and 2023. The reason why these words were chosen as the main theme is that they are the most frequently used meaningful words as a result of the frequency analysis made in the proceedings books. According to the findings, it was observed that there was a connection between the themes of the studies and the social situations experienced.

 Sosyal bilimler alanında en köklü ve kurumsal kongrelerden birisi olan Uluslararası İşletmecilik Kongresi UİK 2001 yılından beri her yıl birçok bilim insanını bir araya getirmektedir. Bu çalışmanın amacı 2019 ila 2023 yılları arasında düzenlenen Uluslararası İşletmecilik Kongresi bildiri kitabında yer alan genişletilmiş özet çalışmaların metin madenciliği ve veri görselleştirme yöntemi ile analiz edilmesidir. Bu bağlamda 2019 ila 2023 yıllarına ait bildiri kitapları pdf dosyaları R-Studio programlama dili yardımıyla analiz edilip farklı şekillerde görselleştirilmiştir. Metin madenciliği ve veri görselleştirilmesinin sosyal bilimler alanına entegre edilmesi çalışmanın özgünlüğünü oluşturmaktadır. Analizde kullanılan ana tema pandemi, covid-19, yeşil, dijital, girişimcilik, inovasyon, sürdürülebilirlik, liderlik, örgütsel, kriz, kurumsal, cinsiyet ve eşitsizlik kavramları kullanım sıklıkları araştırılmıştır. Bu kelimelerin ana tema seçilmesinin sebebi ise bildiri kitaplarında yapılan frekans analizi sonucu en sık kullanılan anlamlı kelimeler olmasıdır. Elde edilen bulgulara göre çalışmaların temaları ile yaşanılan sosyal durumlar arasında bağlantı olduğu gözlenmiştir.

Makale detayları

Text Mining and Data Visualization Analyis: IBC Example

Yazarlar:

Deniz Yıldız

Yayıncı:

Manisa Celal Bayar University

Ana Başlıklar:

Bilgi Modelleme | Yönetim ve Ontolojiler

Dergi:

Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi Vol.23 Issue 1, pp.53-67

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001344032

pISSN:

1304-4796

Text Mining

Data Visualization

IBCMetin Madenciliği

Veri Görselleştirme

UİK

Sayı

Makale detayları

Text Mining and Data Visualization Analyis: IBC Example

Yazarlar: Deniz Yıldız

Yayıncı: Manisa Celal Bayar University

Ana Başlıklar: Bilgi Modelleme | Yönetim ve Ontolojiler

Dergi: Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi Vol.23 Issue 1, pp.53-67

Belge Tipi: Makale

Yayın Tarihi: 3/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001344032

pISSN: 1304-4796

Text Mining

Data Visualization

IBCMetin Madenciliği

Veri Görselleştirme

UİK

Sayı

Yazarlar:

Deniz Yıldız

Yayıncı:

Manisa Celal Bayar University

Ana Başlıklar:

Bilgi Modelleme | Yönetim ve Ontolojiler

Dergi:

Manisa Celal Bayar Üniversitesi Sosyal Bilimler Dergisi Vol.23 Issue 1, pp.53-67

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001344032

pISSN:

1304-4796