Dijital Göçebelikle İlgili YouTube İçerikleri Üzerine Yapay Zeka Tabanlı Bir Duygu Analizi Çalışması

Year 2024, Volume: 12 Issue: 4, 1122 - 1144, 31.12.2024

Zafer Ayaz

https://doi.org/10.29109/gujsc.1588839

Abstract

Geleneksel göçebeliğe ek olarak, dijital göçebelik, internet ve mobil teknolojilerin sağladığı fırsatlarla konumdan bağımsız çalışmayı benimseyen bireyleri ifade eder. Dijital göçebeler, takip ettikleri konumu belirlemek için kendileri gibi başkalarını ararlar ve sıklıkla sosyal medya aracılığıyla iletişim kurar veya deneyimlerini paylaşırlar. Bu çalışma, metin analizi yoluyla "Dijital Göçebelik" hakkındaki YouTube videolarındaki olumlu ve olumsuz eğilimleri analiz eder. Videolar, araştırmacı tarafından belirlenen ifadeler kullanılarak olumlu veya olumsuz olarak kategorize edildi ve 60 video elde edildi. Ön işleme tabi tutulduktan sonra, ses kayıtları metne dönüştürüldü ve Python'un NLTK kütüphaneleri kullanılarak analiz edildi. Tematik konu çıkarımı, ChatGPT'nin NLP özelliği kullanılarak yapıldı. Olumlu ve olumsuz konuların izleyici etkisi puanları, kelime sıklıklarına göre hesaplandı. Analiz, "özgürlük-esneklik-bağımsızlık, seyahat avantajı, macera-keşif-yeni deneyimler" gibi başlıklara sahip videoların olumlu olarak tanımlandığını ve "finansal zorluklar, yalnızlık-sosyal izolasyon, finansal değişkenlik" gibi başlıkların olumsuz olarak tanımlandığını ve en yüksek izleyici etkisine sahip olduğunu ortaya koydu. Sonuç olarak, bölgesel kalkınma ve turizm geliri potansiyeli olan dijital göçebelik üzerine önerilerimiz sunulmaktadır.

Keywords

Dijital göçebelik, sosyal medya, YouTube, duygu analizi, doğal dil işleme

An AI-Based Sentiment Analysis Study on YouTube Contents Related to Digital Nomadism

Abstract

In addition to traditional nomadism, digital nomadism refers to individuals who adopt location-independent work with opportunities provided by the internet and mobile technologies. Digital nomads seek others like themselves to determine their following location, often communicating or sharing experiences through social media. This study analyzes positive and negative trends in YouTube videos on “Digital Nomadism” through text analysis. Videos were categorized as positive or negative using researcher-determined phrases, resulting in 60 videos. After pre-processing, audio transcripts were converted to text and analyzed using Python’s NLTK libraries. Thematic topic inference was made using ChatGPT's NLP feature. The audience impact scores of positive and negative topics were calculated based on word frequencies. The analysis revealed that videos with titles like "freedom-flexibility-independence, travel advantage, adventure-discovery-new experiences" were described positively, and "financial difficulties, loneliness-social isolation, financial variability" negatively, had the highest audience impact. In conclusion, our suggestions on digital nomadism, which has the potential for regional development and tourism income, are presented.

Keywords

Digital nomads, social media, YouTube, sentiment analysis, natural language processing

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