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

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 th...

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Published inMaturity and Innovation in Digital Libraries Vol. 11279; pp. 147 - 150
Main Authors Wang, Yuanyuan, Siriaraya, Panote, Nakaoka, Yusuke, Sakata, Haruka, Kawai, Yukiko, Akiyama, Toyokazu
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Culture visualization
Multilingual Twitter analysis
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Summary: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.
ISBN:3030042561
9783030042561
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-04257-8_14