Presentation | 2019-03-07 Analysis of Usage Trends of Unicode Emojis in Tweets During Disasters Sanetoshi Yamada, Keisuke Utsu, Osamu Uchida, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | To minimize damage during disasters, the rapid collection and delivery of accurate information are essential. Therefore, the potentiality of social media, especially Twitter, in the case of a disaster has attracted worldwide attention. In this study, we conduct cluster analysis based on utilization rate per hour to classify Unicode emoji. We also compare the clustering of emoji on each disaster. Moreover, we confirm the contents of the tweet and analyze the usage trend of emoji and co-occurrence with words. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Twitter / Unicode Emoji / co-occurrence network diagram |
Paper # | LOIS2018-63 |
Date of Issue | 2019-02-28 (LOIS) |
Conference Information | |
Committee | LOIS |
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Conference Date | 2019/3/7(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Miyakojima-shi Central Community Center |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Tomohiro Yamada(NTT) |
Vice Chair | Toru Kobayashi(Nagasaki Univ.) |
Secretary | Toru Kobayashi(NTT) |
Assistant | Shinichiro Eitoku(NTT) |
Paper Information | |
Registration To | Technical Committee on Life Intelligence and Office Information Systems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of Usage Trends of Unicode Emojis in Tweets During Disasters |
Sub Title (in English) | |
Keyword(1) | |
Keyword(2) | Unicode Emoji |
Keyword(3) | co-occurrence network diagram |
1st Author's Name | Sanetoshi Yamada |
1st Author's Affiliation | Tokai University(Tokai Univ.) |
2nd Author's Name | Keisuke Utsu |
2nd Author's Affiliation | Tokai University(Tokai Univ.) |
3rd Author's Name | Osamu Uchida |
3rd Author's Affiliation | Tokai University(Tokai Univ.) |
Date | 2019-03-07 |
Paper # | LOIS2018-63 |
Volume (vol) | vol.118 |
Number (no) | LOIS-485 |
Page | pp.pp.47-52(LOIS), |
#Pages | 6 |
Date of Issue | 2019-02-28 (LOIS) |