Article ID: | iaor201527683 |
Volume: | 52 |
Issue: | 7 |
Start Page Number: | 777 |
End Page Number: | 788 |
Publication Date: | Nov 2015 |
Journal: | Information & Management |
Authors: | Dai Weihui, Han Dongmei, Dai Yonghui, Xu Dongrong |
Keywords: | computers: information, management, datamining, behaviour |
Vocal media has become a popular method of communication in today's social networks. While conveying semantic information, vocal messages usually also contain abundant emotional information; this emotional information represents a new focus for data mining in social media analytics. This paper proposes a computational method for emotion recognition and affective computing on vocal social media to estimate complex emotion as well as its dynamic changes in a three‐dimensional PAD (Position–Arousal–Dominance) space; furthermore, this paper analyzes the propagation characteristics of emotions on the vocal social media site WeChat.