Content Mining of Microblogs

Cingiz M. O. , DİRİ B.

IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, İstanbul, Türkiye, 26 - 29 Ağustos 2012, ss.835-838 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/asonam.2012.151
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.835-838


Emergence of Web 2.0, internet users can share their contents with other users using social networks. In this paper microbloggers' contents are evaluated with respect to how they reflect their categories. Migrobloggers' category information, which is one of the four categories that are economy sport, entertainment or technology, is taken from application. 2105 RSS news feeds, whose category labels are same with microbloggers' contributions, are used as training data for classification. In this study two types of users' contributions are taken as test data. These users are normal microbloggers and bots. Classification results show that bots provide more categorical content than normal users.