Netflix İçeriklerinin Duygu Analizi Yöntemi İle İncelenmesi

Year 2025, Volume: 18 Issue: 2, 256 - 273, 31.08.2025

Adem Aksan , Ayşe Oğuzlar

https://doi.org/10.37093/ijsi.1515251

Abstract

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.

Keywords

Duygu Sınıflandırması , Duygu Analizi , Veri Madenciliği , Dijital Platform , Netflix

Analyzing Netflix Content with Sentiment Analysis Method

Abstract

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%.

Keywords

Emotion Classification , Sentiment Analysis , Data Mining , Digital Platform , Netflix

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