Author/Authors
ONAN, Aytuğ Celal Bayar Üniversitesi - Mühendislik Fakültesi - Bilgisayar Mühendisliği Bölümü, Türkiye , KORUKOĞLU, Serdar Ege Üniversitesi - Mühendislik Fakültesi - Bilgisayar Mühendisliği Bölümü, Türkiye
Title Of Article
A review of literature on the use of machine learning methods for opinion mining
شماره ركورد
40802
Abstract
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.
From Page
111
NaturalLanguageKeyword
Opinion mining , Machine learning , Sentiment analysis
JournalTitle
Pamukkale University Journal Of Engineering Sciences
To Page
122
JournalTitle
Pamukkale University Journal Of Engineering Sciences
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