Nükleer enerjiye geçişte Türk toplumunun tepkisinin duygu analizi ile tespit edilmesi
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PDF downloads: 29
Keywords:
NLP, Transformer, Duygu Analizi, Çoklu Etiket, Nükleer EnerjiAbstract
Nükleer enerjiye geçişte toplum tarafından verilen tepkiler sosyal medyada yer alan yorumların
analizi ile ölçülebilmektedir. Ancak, binlerce yorumun tek tek okunarak incelenmesi her zaman mümkün
değildir. Bu zorlukla baş edebilmek için, Transformer yöntemi duygu analizi maksadıyla çalışmamızda
kullanılmıştır. Bu yaklaşım, diğer derin öğrenme yöntemlerine kıyasla başarılı sonuçların daha kısa süre
içinde elde edilmesi nedeniyle daha verimli bulunmaktadır. Bu çalışmada, özellikle "kirli metin" olarak
adlandırılan sosyal medya yorumlarının analizi üzerine odaklanan çoklu-etiketli doğal dil işleme (NLP)
modeli tanımlanmıştır. Türkçe yorumlarda, nükleer enerji santrallerinin kurulmasıyla ilgili pozitif
duyguların yanı sıra yaygın olarak olumsuz bakış açıları da bulunmaktadır. Bu çalışmanın temel amacı,
Türk toplumunun zaman içinde nükleer enerjiye geçişe yönelik dinamik algısını belirlemek ve metin
madenciliğinde öne çıkan bir teknik olan NLP'yi kullanarak kapsamlı bir analiz yapmaktır. Çalışmadan
elde edilen sonuçların, karar vericilerin geçişle ilgili politikalar oluşturmasına rehberlik etmesi
amaçlanmaktadır.
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