A Review of Turkish Sentiment Analysis and Opinion Mining

Year 2018, Volume: 6 Issue: 2, 94 - 98, 30.04.2018

Habibe Karayiğit , Çiğdem Acı , Ali Akdağlı

https://doi.org/10.17694/bajece.419547

Cited By: 1

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 (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

References

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