Eskişehir Türk Dünyası Uygulama ve Araştırma Merkezi Bilişim Dergisi

Yazarlar: Hatice Kübra KÜÇÜKKARTAL

Konular:Bilgisayar Bilimleri, Bilgi Sistemleri

Anahtar Kelimeler:Social Media,Text Mining

Özet: Social media has made people's communication more interactive. Thanks to these interactions, huge amounts of data are produced. In this way, the needs for processing and analyzing increasing data are emerging. The aim of this study is to have an idea about the issues that people discuss via the social media platform twitter. It was aimed to show the results of people's opinions, to create a substructure on text mining and to make the data more meaningful with data visualization methods. In this study, text mining methods were applied to the data collected on Twitter. By combining text mining with data science and data visualization tools, data is made easy to understand. Sentiment analysis was used to analyze whether people's posts were positive, negative or neutral.

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