Metin Duygu sınıflandırılmasında hibrit wavelet yönteminin kullanımı

Yıl 2021, , 701 - 714, 05.03.2021

İlknur Dönmez , Zafer Aslan

https://doi.org/10.17341/gazimmfd.701313

Cited By: 1

Öz

Verilerin her geçen gün arttığı günümüzde herhangi bir metnin anlamsal ve duygusal çözümlemesi ihtiyaç duyulan konulardan biridir. Çalışmamız metinlerin sınıflandırılmasında kullanılabilecek üst anlam ilişkilerini çıkarmak ve metinlerin duygu sınıflandırmasını yapmak için yeni bir yöntem önermektedir. Bu yöntem daha önce metin analizinde çok az kullanılmış dalgacık dönüşüm yöntemidir. Çalışmamızda bu yöntemin klasik sınıflandırma algoritmaları ile birleştirilirmiş hali kullanılmaktadır. Dalgacık dönüşüm yöntemi metin içindeki anahtar kelimelerin üst anlamlarını ve temsil ettikleri ağırlıkları bulmaya yardım etmektedir. Duygu sınıflandırması probleminde, klasik yöntemler ile birlikte metin anahtar kelime vektörleri üzerinde dalgacık dönüşümü yapıldıktan sonra bulunan ağırlıkların kullanılması doğrulukları artırmıştır.

Anahtar Kelimeler

Wavelet, duygu analizi, metin duygu görselleştirmesi

Destekleyen Kurum

Yok

Proje Numarası

Yok

Teşekkür

Yazarlar, Wavelet uygulamaları konusundaki araştırmalarımıza sağladığı önemli katkılar ve desteklerden dolayı ISIAM (Hindistan Endüstri ve Uygulamalı Matematik Topluluğu) Başkanı olan ve maalesef 20 Ocak 2020 tarihinde aramızdan ayrılan Prof, Dr, Abul Hassan SIDDIQI'yı saygıyla anarlar ve çalışmalarını Prof, Dr, Abul Hassan SIDDIQI’ya ithaf ederler.

Document Sentiment Classification Using Hybrid Wavelet Methodologies

Öz

Proje Numarası

Yok

Kaynakça

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