Irony Sentence Detection Techniques Using Fuzzy Historical Classifier

Irony Sentence Detection Techniques Using Fuzzy Historical
Classifier

 

 

Ketua : Dr  YEFFRY HANDOKO PUTRA S.T, M.T

Anggota : A Erfina

Department of Magister Information System

Faculty of Post Graduate

Universitas Komputer Indonesia
Indonesia

E-mail : adhitia.erfina@gmail.com

 

Abstract. The purpose of this study is to presents a new approach to the extraction of the
meaning of sentences that are irony, that is by way of classifying someone based on their
utterances in the past. The history of one's utterances influences the assessment of a sentence
having an irony tendency or not, for example when someone often speaks negatively, suddenly
gives positive opinion on a topic while other people give negative opinions on the topic. The
fuzzy logic method needs to be used to assess the historical tendency of one's utterances when
the values of positive and negative sentiments are almost balanced so that the value of the
majority of sentiments is unclear. The results show that the greater the level of difference in
sentiment between a topic and the higher the level of the historical tendency of a person's
utterance, the higher the value of the potential irony of the utterance.