An Analysis of Graduate Theses on Sentiment Analysis Published in the YÖK Thesis Database in Turkey between 2011 and 2024

Abstract

Sentiment analysis, which aims to identify positive, negative, or neutral sentiments in texts, is one of the data-driven methods that has found application in many disciplines today. The aim of this study is to reveal academic trends in Turkey by examining postgraduate theses containing the term “sentiment analysis” in their titles, available at the YÖK National Thesis Center, based on different variables. A total of 249 theses were evaluated based on criteria such as publication year, level, language of writing, university, institute, and department. The findings show that the number of such studies has increased over time and is particularly concentrated at the master's level. While 2024 stands out as the year with the highest number of master's theses, 2019 and 2024 are notable for doctoral theses. Turkish is more commonly used in master's theses, while English is more prevalent at the doctoral level. Among universities, Bahçeşehir University ranks first in master's theses, while Hacettepe University ranks first in doctoral theses. Analyses using text mining techniques such as n-gram and word cloud reveal that most studies are based on social media data. The findings obtained are indicative of future research in the field.

Keywords

• Sentiment analysis
• Graduate thesis
• N-gram
• Word cloud

Türkiye’de 2011-2024 Yılları Arasında Yök Tez Veri Tabanında Yayımlanan Duygu Analizi ile İlgili Lisansüstü Tezlerin İncelenmesi

Abstract

Metinlerdeki olumlu, olumsuz ya da nötr duyguları tespit etmeye yönelik duygu analizi, günümüzde birçok disiplinde uygulama alanı bulan veri odaklı yöntemlerden biridir. Çalışmanın amacı, YÖK Ulusal Tez Merkezi’nde yer alan ve başlığında “duygu analizi” geçen lisansüstü tezleri farklı değişkenler üzerinden inceleyerek Türkiye’deki akademik eğilimleri ortaya koymaktır. Toplam 249 tez; yayın yılı, düzey, yazım dili, üniversite, enstitü ve anabilim dalı gibi ölçütlerle değerlendirilmiştir. Elde edilen bulgular, söz konusu çalışmaların zamanla arttığını ve özellikle yüksek lisans düzeyinde yoğunlaştığını göstermektedir. 2024, en fazla yüksek lisans tezinin yazıldığı yıl olarak öne çıkarken, doktora düzeyinde 2019 ve 2024 yılları dikkat çekmektedir. Yüksek lisans tezlerinde Türkçe, doktora düzeyinde ise İngilizce kullanımının daha yaygın olduğu görülmüştür. Üniversiteler arasında Bahçeşehir Üniversitesi yüksek lisans; Hacettepe Üniversitesi doktora tezlerinde ilk sırada yer almaktadır. N-gram ve kelime bulutu gibi metin madenciliği teknikleriyle yapılan analizlerde, çalışmaların çoğunlukla sosyal medya verilerini temel aldığı görülmektedir. Elde edilen bulgular, alandaki gelecek araştırmalara yön gösterici niteliktedir.

Keywords

• Duygu analizi
• Lisansüstü tez
• N-gram
• Kelime bulutu

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