A Review of Turkish Sentiment Analysis and Opinion Mining

Authors : Habibe KARAYİĞİT, Çiğdem ACI, Ali AKDAĞLI

Pages : 94-98

Doi:10.17694/bajece.419547

View : 17 | Download : 12

Publication Date : 2018-04-30

Article Type : Research Paper

Abstract :Social Media is one of the most frequently used platforms today. Users can easily share their views, ideas, and thoughts on this platform. The data shared on social media platforms is actually a great deal that can be transformed into meaningful information. The obtained big data can be analyzed and evaluated by various data analysis methods. Whether or not the data contain a feeling, if it is included; the type of the feeling insert ignore into journalissuearticles values(i.e. positive, negative or neutral); can be determined by emotion analysis methods. Sentiment Analysis studies in later times began to turn to analysis indicating different sentiments. Thus the foundations of Opinion Mining were laid. When ideas conveyed by social media information are presented semantically, they are expressed by Opinion Mining. The purpose of this paper is to explain the relationship between the concepts of Sentiment Analysis and Opinion Mining. The terms used in Sentiment Analysis and Opinion Mining are explained and examples of Turkish Sentiment Analysis are given. It has been tried to suggest solutions for the problems encountered in Turkish studies.
Keywords : Turkish, Sentiment Analysis, social media, Opinion Mining