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Measuring Crowd Mood in City Space Through Twitter
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Year:
2015
Type:
conference-paper
Source:
Lecture notes in computer science
DOI:
10.1007/978-3-319-18251-3_3
Authors:
Shoko Wakamiya,
Lamia Belouaer,
David Brosset,
Ryong Lee,
Yukiko Kawai,
Kazutoshi Sumiya,
Christophe Claramunt
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Institutions:
Kyoto Sangyo University,
Institut de Recherche de l’École Navale,
Korea Institute of Science & Technology Information,
University of Hyogo
Language:
English
Topic:
Sentiment Analysis and Opinion Mining
Subfield:
Artificial Intelligence
Field:
Computer Science
Domain:
Physical Sciences
SDG:
Sustainable cities and communities
Open Access status:
closed
OpenAlex ID:
W782554847
FWCI:
1.432
Cites:
19
Cited by:
15
Related to:
10