A city-wide examination of fine-grained human emotions through social media analysis
The proliferation of Social Media and Open Web data has provided researchers with a unique opportunity to better understand human behavior at different levels. In this paper, we show how data from Open Street Map and Twitter could be analyzed and used to portray detailed Human Emotions at a city wid...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891511/?tool=EBI |
| _version_ | 1811171969192689664 |
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| author | Panote Siriaraya Yihong Zhang Yukiko Kawai Peter Jeszenszky Adam Jatowt |
| author_facet | Panote Siriaraya Yihong Zhang Yukiko Kawai Peter Jeszenszky Adam Jatowt |
| author_sort | Panote Siriaraya |
| collection | DOAJ |
| description | The proliferation of Social Media and Open Web data has provided researchers with a unique opportunity to better understand human behavior at different levels. In this paper, we show how data from Open Street Map and Twitter could be analyzed and used to portray detailed Human Emotions at a city wide level in two cities, San Francisco and London. Neural Network classifiers for fine-grained emotions were developed, tested and used to detect emotions from tweets in the two cites. The detected emotions were then matched to key locations extracted from Open Street Map. Through an analysis of the resulting data set, we highlight the effect different days, locations and POI neighborhoods have on the expression of human emotions in the cities. |
| first_indexed | 2024-04-10T17:23:50Z |
| format | Article |
| id | doaj.art-84430f0faefc4e0e996e5b5aa402ffd0 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-10T17:23:50Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-84430f0faefc4e0e996e5b5aa402ffd02023-02-05T05:30:58ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01182A city-wide examination of fine-grained human emotions through social media analysisPanote SiriarayaYihong ZhangYukiko KawaiPeter JeszenszkyAdam JatowtThe proliferation of Social Media and Open Web data has provided researchers with a unique opportunity to better understand human behavior at different levels. In this paper, we show how data from Open Street Map and Twitter could be analyzed and used to portray detailed Human Emotions at a city wide level in two cities, San Francisco and London. Neural Network classifiers for fine-grained emotions were developed, tested and used to detect emotions from tweets in the two cites. The detected emotions were then matched to key locations extracted from Open Street Map. Through an analysis of the resulting data set, we highlight the effect different days, locations and POI neighborhoods have on the expression of human emotions in the cities.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891511/?tool=EBI |
| spellingShingle | Panote Siriaraya Yihong Zhang Yukiko Kawai Peter Jeszenszky Adam Jatowt A city-wide examination of fine-grained human emotions through social media analysis PLoS ONE |
| title | A city-wide examination of fine-grained human emotions through social media analysis |
| title_full | A city-wide examination of fine-grained human emotions through social media analysis |
| title_fullStr | A city-wide examination of fine-grained human emotions through social media analysis |
| title_full_unstemmed | A city-wide examination of fine-grained human emotions through social media analysis |
| title_short | A city-wide examination of fine-grained human emotions through social media analysis |
| title_sort | city wide examination of fine grained human emotions through social media analysis |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891511/?tool=EBI |
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