A review of literature on the use of machine learning methods for opinion mining
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pamukkale Univ
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Opinion mining is an emerging field which uses methods of natural language processing, text mining and computational linguistics to extract subjective information of opinion holders. Opinion mining can be viewed as a classification problem. Hence, machine learning based methods are widely employed for sentiment classification. Machine learning based methods in opinion mining can be mainly classified as supervised, semi-supervised and unsupervised methods. In this study, main existing literature on the use of machine learning methods for opinion mining has been presented. Besides, the weak and strong characteristics of machine learning methods have been discussed.
Açıklama
Anahtar Kelimeler
Opinion mining, Machine learning, Sentiment analysis
Kaynak
Pamukkale University Journal of Engineering Sciences-Pamukkale Universitesi Muhendislik Bilimleri Dergisi
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
22
Sayı
2
