Exploring Cross-cultural Crowd Sentiments on Twitter

被引：4

作者：

Wang, Yuanyuan ^{[1
]}

Pozi, Muhammad Syafiq Mohd ^{[2
]}

Kawai, Yukiko ^{[2
]}

Jatowt, Adam ^{[3
]}

Akiyama, Toyokazu ^{[2
]}

机构：

[1] Yamaguchi Univ Ube, Yamaguchi 7558611, Japan

[2] Kyoto Sangyo Univ, Kyoto 6038555, Japan

[3] Kyoto Univ, Kyoto 6068501, Japan

来源：

PROCEEDINGS OF THE 28TH ACM CONFERENCE ON HYPERTEXT AND SOCIAL MEDIA (HT'17) | 2017年

关键词：

crowd sentiment analysis; Twitter; cross-cultural study;

D O I：

10.1145/3078714.3078749

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Twitter is frequently used to express personal opinions and sentiments. This work presents a novel crowd sentiment analysis of Twitter for exploring cross-cultural differences. We aim to find similar meanings but different sentiments between Twitter data collected over diverse geographic places. For this, we detect sentiments and topics of each tweet and assign sentiments to each topic based on the sentiments of the corresponding tweets. This permits finding interesting cross-cultural patterns. We demonstrate a visualization system that supports the interactive analysis of two countries: France and Italy.

引用

页码：321 / 322

页数：2

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