Text mining and social network analysis on computer science and engineering theses in Turkey
Küçük Resim Yok
Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Association for Computing Machinery
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, we examined 6,834 master's and PhD theses conducted on computer science and engineering between 1994 and 2013 in Turkey. Thesis data were compiled from the YÖK national thesis database web portal. We used text mining techniques to extract research concepts and their co-occurrence data from graduate thesis abstracts. Then, we applied social network analysis techniques on the concept cooccurrence networks to visually explore core research concepts, and connections and relationships among them. We showed that text mining and social network analysis techniques together were very effective for knowledge discovery in scientific documents in computer science and engineering domain. Copyright © 2014 ACM.
Açıklama
Querbie;University of Ruse (UORB)
15th International Conference on Computer Systems and Technologies, CompSysTech 2014 -- 27 June 2014 through 28 June 2014 -- -- 108747
15th International Conference on Computer Systems and Technologies, CompSysTech 2014 -- 27 June 2014 through 28 June 2014 -- -- 108747
Anahtar Kelimeler
Computer Engineering, Computer Science, Graduate Theses, Social Network Analysis, Text Mining
Kaynak
ACM International Conference Proceeding Series
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
883
