FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2904964376> ?p ?o ?g. }

• W2904964376 abstract "Geotagged social media data provides unprecedented opportunities and meaningful aspects of human analysis in the era of volunteered geographic information (VGI). Previous studies have examined users‘ emotions shared on these media, while most of them focused on text-based data and ignored diverse images. In this paper, we used a huge global scale image dataset: YFCC100, to extract emotions from photos and to describe the worldwide geographic patterns of human happiness. Two indices of Average Smiling Index (ASI) and Happiness Index (HI) are defined from different perspectives to describe the degree of human happiness in a specific region. We computed the spatio-temporal characteristics of facial expression-based happiness on a global scale and linked them to some demographic variables (ethnicity, gender, age, and nationality). After that, the robust analysis was made to ensure our results are reliable. Results are in accordance with some previous studies and common sense, for example, White and Black are better at expressing happiness than Asian, women are more expressive than men, and happiness expressed varies across space and time. Our research provides a novel methodology for emotion measurement and it could be utilized for assessing a region‘s emotion conditions based on geo-crowdsourcing data. Robust analysis results on our dataset indicate that our approaches are reliable and could be implemented in research of human emotions." @default.
• W2904964376 created "2018-12-22" @default.
• W2904964376 creator A5009879060 @default.
• W2904964376 creator A5013478512 @default.
• W2904964376 creator A5049012207 @default.
• W2904964376 creator A5067122850 @default.
• W2904964376 creator A5071883673 @default.
• W2904964376 date "2018-03-01" @default.
• W2904964376 modified "2023-10-14" @default.
• W2904964376 title "Who are happier? Spatio-temporal Analysis of Worldwide Human Emotion Based on Geo-Crowdsourcing Faces" @default.
• W2904964376 cites W1505701726 @default.
• W2904964376 cites W1966797434 @default.
• W2904964376 cites W2008803468 @default.
• W2904964376 cites W2019312772 @default.
• W2904964376 cites W2041003138 @default.
• W2904964376 cites W2050014949 @default.
• W2904964376 cites W2054475056 @default.
• W2904964376 cites W2062837117 @default.
• W2904964376 cites W2063948594 @default.
• W2904964376 cites W2075456404 @default.
• W2904964376 cites W2078120282 @default.
• W2904964376 cites W2081754473 @default.
• W2904964376 cites W2087756450 @default.
• W2904964376 cites W2087842918 @default.
• W2904964376 cites W2099352442 @default.
• W2904964376 cites W2099366530 @default.
• W2904964376 cites W2112620321 @default.
• W2904964376 cites W2116628589 @default.
• W2904964376 cites W2117897510 @default.
• W2904964376 cites W2118833352 @default.
• W2904964376 cites W2123329834 @default.
• W2904964376 cites W2135968245 @default.
• W2904964376 cites W2136527530 @default.
• W2904964376 cites W2138682483 @default.
• W2904964376 cites W2144535965 @default.
• W2904964376 cites W2144850573 @default.
• W2904964376 cites W2146355519 @default.
• W2904964376 cites W2150819813 @default.
• W2904964376 cites W2157653492 @default.
• W2904964376 cites W2159190230 @default.
• W2904964376 cites W2180940404 @default.
• W2904964376 cites W2250384498 @default.
• W2904964376 cites W2270941958 @default.
• W2904964376 cites W2325939864 @default.
• W2904964376 cites W2396394453 @default.
• W2904964376 cites W2485451845 @default.
• W2904964376 cites W2549412929 @default.
• W2904964376 cites W2563741043 @default.
• W2904964376 cites W2755639667 @default.
• W2904964376 cites W3010332855 @default.
• W2904964376 cites W3099206234 @default.
• W2904964376 cites W3211843254 @default.
• W2904964376 cites W359818833 @default.
• W2904964376 cites W2127234861 @default.
• W2904964376 cites W2995034616 @default.
• W2904964376 doi "https://doi.org/10.1109/upinlbs.2018.8559710" @default.
• W2904964376 hasPublicationYear "2018" @default.
• W2904964376 type Work @default.
• W2904964376 sameAs 2904964376 @default.
• W2904964376 citedByCount "5" @default.
• W2904964376 countsByYear W29049643762019 @default.
• W2904964376 countsByYear W29049643762020 @default.
• W2904964376 countsByYear W29049643762021 @default.
• W2904964376 countsByYear W29049643762022 @default.
• W2904964376 crossrefType "proceedings-article" @default.
• W2904964376 hasAuthorship W2904964376A5009879060 @default.
• W2904964376 hasAuthorship W2904964376A5013478512 @default.
• W2904964376 hasAuthorship W2904964376A5049012207 @default.
• W2904964376 hasAuthorship W2904964376A5067122850 @default.
• W2904964376 hasAuthorship W2904964376A5071883673 @default.
• W2904964376 hasConcept C136764020 @default.
• W2904964376 hasConcept C154945302 @default.
• W2904964376 hasConcept C15744967 @default.
• W2904964376 hasConcept C166957645 @default.
• W2904964376 hasConcept C180747234 @default.
• W2904964376 hasConcept C205649164 @default.
• W2904964376 hasConcept C2522767166 @default.
• W2904964376 hasConcept C2777138209 @default.
• W2904964376 hasConcept C2777382242 @default.
• W2904964376 hasConcept C2778755073 @default.
• W2904964376 hasConcept C2778999518 @default.
• W2904964376 hasConcept C41008148 @default.
• W2904964376 hasConcept C518677369 @default.
• W2904964376 hasConcept C57380593 @default.
• W2904964376 hasConcept C58640448 @default.
• W2904964376 hasConcept C62230096 @default.
• W2904964376 hasConcept C66402592 @default.
• W2904964376 hasConcept C70036468 @default.
• W2904964376 hasConcept C77805123 @default.
• W2904964376 hasConceptScore W2904964376C136764020 @default.
• W2904964376 hasConceptScore W2904964376C154945302 @default.
• W2904964376 hasConceptScore W2904964376C15744967 @default.
• W2904964376 hasConceptScore W2904964376C166957645 @default.
• W2904964376 hasConceptScore W2904964376C180747234 @default.
• W2904964376 hasConceptScore W2904964376C205649164 @default.
• W2904964376 hasConceptScore W2904964376C2522767166 @default.
• W2904964376 hasConceptScore W2904964376C2777138209 @default.
• W2904964376 hasConceptScore W2904964376C2777382242 @default.
• W2904964376 hasConceptScore W2904964376C2778755073 @default.
• W2904964376 hasConceptScore W2904964376C2778999518 @default.

• next