Name
Abstract | ||
|---|---|---|
Analyses of social media have increased in importance for understanding human behaviors, interests, and opinions. Business intelligence based on social media can reduce the costs of managing customer trend complexities. This paper focuses on analyzing sensation information representing human perceptual experiences in social media through the five senses: sight, hearing, touch, smell, and taste. First a measurement is defined to estimate social sensation intensities, and subsequently sensation characteristics on geo-social media are identified using geo-spatial footprints. Finally, we evaluate the accuracy and F-measure of our approach by comparing with baselines. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/ijgi7020071 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION |
Keywords | Field | DocType |
social sensory knowledge,sensation information,text mining,classification,geo-spatial analysis | Social media,Cognitive psychology,Psychology,Sight,Human behavior,Business intelligence,Perception,Sensation | Journal |
Volume | Issue | ISSN |
7 | 2 | 2220-9964 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Lee | 1 | 33 | 13.67 |
| Hirotaka Ogawa | 2 | 0 | 0.34 |
| Yong-Jin Kwon | 3 | 250 | 28.09 |
| Kyoung-Sook Kim | 4 | 24 | 14.07 |