TY  - JOUR
T1  - Netflix İçeriklerinin Duygu Analizi Yöntemi İle İncelenmesi
TT  - Analyzing Netflix Content with Sentiment Analysis Method
AU  - Aksan, Adem
AU  - Oğuzlar, Ayşe
PY  - 2025
DA  - August
Y2  - 2025
DO  - 10.37093/ijsi.1515251
JF  - International Journal of Social Inquiry
JO  - ijsi
PB  - Bursa Uludağ Üniversitesi
WT  - DergiPark
SN  - 1307-8364
SP  - 256
EP  - 273
VL  - 18
IS  - 2
LA  - tr
AB  - İnsanların yoğun ilgisiyle birlikte digital içerik platformlarının sayısı günden güne artmaktadır. Netflix’de kullanıcılar tarafından tercih edilen dijital içerik platformlarından biridir. Duygu analizi, 2000’li yılların başlangıcıyla birlikte metinlerin içerisinde yer alan duyguları ortaya çıkaran sözlük tabanlı bir tekniktir. Duygu analizi içerik geliştiricileri için de önemli bir araçtır. Bu sayede senaryo yazma, tanım metinleri oluşturma gibi konularda yazarlara katkı sağlar. Ayrıca ilgi çeken içeriklerin, metinsel açıdan analiz ederek yazarlara rehberlik eder. Bu bilgilerden yola çıkarak hazırlanan çalışmanın amacı, Netflix içeriklerine ait tanıtım metinlerini duygu analizi ile karşılaştırmaktır. Bu kapsamda, Türkiye yapımı Netflix içerikleri ile diğer ülkelere ait Netflix içeriklerini, denetimsiz öğrenme tekniği olan sözlük tabanlı duygu analizi ile karşılaştırılmıştır. NRC sözlük içerisinde yer alan 8 temel duygu düzeyinde analiz yapılarak bulgulara yer verilmiştir. Yapılan analiz sonucunda Türkiye yapımı içeriklere ait tanıtım metinlerinde korku duygusunun, diğer içeriklerde ise güven duygusunun öne çıktığı tespit edilmiştir. Türkiye yapımı içeriklerin tanıtım metinlerinin(-0,25), diğer ülkelere ait içeriklere(0,03) göre daha fazla negatif duyguya sahiptir. Ayrıca iki grup için elde edilen duygu skorları arasında %5 anlamlılık düzeyinde istatistiksel açıdan anlamlı bir farklılık olduğu tespit edilmiştir.
KW  - Duygu Sınıflandırması
KW  - Duygu Analizi
KW  - Veri Madenciliği
KW  - Dijital Platform
KW  - Netflix
N2  - The number of digital content platforms is increasing due to people's growing interest. Netflix is a popular choice among users. Since the early 2000s, sentiment analysis, a dictionary-based technique, has been used to reveal emotions in texts. It is also an important tool for content developers and contributes to writers in areas such as scriptwriting and creating descriptive texts. It also guides authors by analyzing interesting content from a textual perspective. Based on this information, this study aims to compare the promotional texts of Netflix content with sentiment analysis. In this context, Netflix content from Türkiye and Netflix content from other countries were compared using dictionary-based sentiment analysis, which is an unsupervised learning technique. The findings were analyzed using the 8 basic emotion levels in the NRC dictionary.  As a result of the analysis, it was determined that the emotion of fear was prominent in the promotional texts of Türkiye-made content, while the emotion of trust was prominent in other content. Promotional texts of Turkish-made content (-0.25) have more negative emotions than content from other countries (0.03). In addition, a statistically significant difference was found between the emotion scores obtained for the two groups at a significance level of 5%.
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UR  - https://doi.org/10.37093/ijsi.1515251
L1  - https://dergipark.org.tr/tr/download/article-file/4066448
ER  -