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.
 
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