A Twitter-Based Culture Visualization System by Analyzing Multilingual Geo-Tagged Tweets

被引：0
|
作者：
Wang, Yuanyuan [1 ]
Siriaraya, Panote [2 ]
Nakaoka, Yusuke [2 ]
Sakata, Haruka [2 ]
Kawai, Yukiko [2 ,3 ]
Akiyama, Toyokazu [2 ]
机构：
[1] Yamaguchi Univ, 2-16-1 Tokiwadai, Ube, Yamaguchi 7558611, Japan
[2] Kyoto Sangyo Univ, Kita Ku, Kyoto 6038555, Japan
[3] Osaka Univ, 5-1 Mihogaoka, Ibaraki, Osaka 5670047, Japan
来源：
MATURITY AND INNOVATION IN DIGITAL LIBRARIES, ICADL 2018 | 2018年 / 11279卷
关键词：
Multilingual Twitter analysis; Culture visualization;
D O I：
10.1007/978-3-030-04257-8_14
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a novel multilingual analysis of Twitter for exploring cultural differences. For this, we developed a Twitter-based visualization system for food culture by analyzing the differences between locations and languages in geo-tagged tweets from European countries. A key feature of the proposed system is the ability to infer similarities in food preferences between different language users in different cities even when such preferences are not explicitly shown in existing tweets.
引用
收藏
页码：147 / 150
页数：4
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