Sarcasm Detection for Japanese Text Using BERT and Emoji

被引：0

作者：

Okimoto, Yoshio ^{[1
]}

Suwa, Kosuke ^{[2
]}

Zhang, Jianwei ^{[2
]}

Li, Lin ^{[3
]}

机构：

[1] Cosmo Comp Syst Inc, Tokyo, Japan

[2] Iwate Univ, Morioka, Iwate, Japan

[3] Wuhan Univ Technol, Wuhan, Peoples R China

来源：

DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2021, PT I | 2021年 / 12923卷

关键词：

Sarcasm detection; BERT; Emoji; Twitter;

D O I：

10.1007/978-3-030-86472-9_11

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose methods to detect sarcasm from Japanese text on Twitter by using the BERT language model and analyzing emoji as well as text. After constructing a Japanese Twitter dataset, we extract feature vector for both text and emoji. Our experimental results show that the usage of BERT and emoji can help improve the performance of sarcasm detection.

引用

页码：119 / 124

页数：6

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