Akademik Veri Yönetim Sistemi
Creating A Human-Focused Future, Serra Çelik,Sevinç Gülseçen,Meltem Eryılmaz, Editör, Istanbul University Press, İstanbul, ss.172-183, 2025
The widespread use of internet technology has caused social networks to have a great place in human life. Individuals who shared about their lives and thoughts provided researchers with a great deal of data for their studies on various subjects. It has been observed that Twitter is widespread, especially since it is text-based in sharing thoughts. The increasing number of shared tweets has caused researchers to encounter a huge data crowd. Since it is not possible to manually analyze or classify this large-scale data, it has become a necessity to analyze and classify it by a system. For this reason, it has been inevitable for researchers to turn to the fields of text mining and sentiment analysis. In this article, the subject of text mining and sentiment analysis is examined together with its details and approaches and presented as a literature review. In the application part, a sentiment analysis study was conducted with the data taken from Twitter on a determined subject.