Wijaya, Arvanchrist Charlie
Unknown Affiliation

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Deteksi Sarkasme dan Ironi pada Twitter dengan Mengunakan Metode CNN Wijaya, Arvanchrist Charlie; Wibawa, I Gede Arta
Jurnal Nasional Teknologi Informasi dan Aplikasnya Vol 1 No 1 (2022): JNATIA Vol. 1, No. 1, November 2022
Publisher : Informatics Study Program, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sarcasm refers to the use of words with meaning opposite of what is written or said. With this ambiguity, it could be difficult to tell if the message is sarcastic or not. This paper aim to give some method to detect sarcasm in message, especially in a tweets from Twitter. In this paper we will use a convolutional neural network method to classify the tweets. In this paper we got the accuracy of 73,8% training and 74,6% for validation.