Sistem Pendeteksi Pengirim Tweet dengan Metode Klasifikasi Naive Bayes
Abstract: Until Januari 2015,
social media users reached 29% of the world population. In Indonesia itself had
28% active users from total populasi of Indonesia. The usage of social media
gives positives and negatives effect. The negatives effect are the increasing number
of fraud by using SMS or social media, such as Twitter. Many people are
deceived by the tweet messages sent from known user account when in fact the
sender is other person. Because of that, there is a need to have a system to
detect wheteher the tweet sender is the same person or not. Naive Bayes
classifiers method is used to classify that. The data source is taken from
tokens selected based on two models, the minimum n-time number of occurrences
and the n-th highest number of occurrences. Each tweets also processed into six
different types of tweets, such as formal tweet or lowercase tweet. The test
uses tenfold cross-validation and measured by the value of accuracy, precision,
recall, and F-score. The common result shows 82,145% level of accuracy. Second
model to select the tokens shows consistency level of accuracy for each types
of tweets. The fifth types of tweets also get the highest level of accuracy for
both models to select the tokens.
Penulis: Maresha Caroline
Wijanto
Kode Jurnal: jptinformatikadd150360
