Name
Abstract | ||
|---|---|---|
The world nowadays is almost inconceivable without the existence of Social Media. An ever growing part of our daily communicational activity takes place in the social digital platforms, where not only what we say is kept, but also when and increasingly where we say it. The way we communicate is very insightful, as the words we chose in our communication reveal our emotional state. Inspired by these ideas, we created a new method to quantify the emotional impact of an event on a particular location in absolute terms but also broken down to the different emotional states. To support that, we explored different modelling approaches for the emotional profiling of locations adopting the well established Pleasantness-Arousal-Dominance paradigm. Apart from defining our method, we explain in this paper the procedure of emotions extraction from Social Media Interactions relying on a modified version of extended Affective Norms for English Words, describe the system we implemented to validate our method and discuss the overall performance of our approach with different emotionally rich events in three known locations. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.knosys.2018.01.029 | Knowledge-Based Systems |
Keywords | Field | DocType |
Emotional impact,Emotional profiling,Social media,Emotional mapping | Chose,Social media,Profiling (computer programming),Computer science,Cognitive psychology,Artificial intelligence,Affect (psychology),Machine learning | Journal |
Volume | ISSN | Citations |
146 | 0950-7051 | 5 |
PageRank | References | Authors |
0.40 | 27 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juan Bernabé-Moreno | 1 | 19 | 5.62 |
| Álvaro Tejeda-Lorente | 2 | 97 | 7.88 |
| Carlos Porcel | 3 | 450 | 24.12 |
| Hamido Fujita | 4 | 2644 | 185.03 |
| Enrique Herrera-Viedma | 5 | 13105 | 642.24 |