%0 Journal Article
%T Spam Detection in Turkish and English SMS Messages with Orange 3
%A £¿zlem £¿rnek
%J -
%D 2019
%X Short messaging service (SMS) is a fast and effective way to communicate and inform. Also, it can provide access to large masses in a short time. However, the use of these features for malicious purposes is a problem for users. Unsolicited messages can be sent like cheating, bad content and misinformation etc. In order to solve these problems and to provide a safer environment, spam detection was done for Turkish and English SMS messages by using TurkishSMS message and UCI SMS Spam collections. Based on the accuracy and error rates in the study, it was determined that the Neural Network for the TurkishSMS dataset and the Naive Bayes algorithm for the UCI SMS Spam data set had a great accuracy and less missing rate
%K SMS Spam Tespiti
%K Metin Madencili£¿i
%K S£¿n£¿fland£¿rma
%U http://dergipark.org.tr/estudambilisim/issue/45482/561819