Title
Neural cognition and affective computing on cyber language
Abstract
AbstractCharacterized by its customary symbol system and simple and vivid expression patterns, cyber language acts as not only a tool for convenient communication but also a carrier of abundant emotions and causes high attention in public opinion analysis, internet marketing, service feedback monitoring, and social emergency management. Based on our multidisciplinary research, this paper presents a classification of the emotional symbols in cyber language, analyzes the cognitive characteristics of different symbols, and puts forward a mechanism model to show the dominant neural activities in that process. Through the comparative study of Chinese, English, and Spanish, which are used by the largest population in the world, this paper discusses the expressive patterns of emotions in international cyber languages and proposes an intelligent method for affective computing on cyber language in a unified PAD (Pleasure-Arousal-Dominance) emotional space.
Year
DOI
Venue
2015
10.1155/2015/749326
Periodicals
Field
DocType
Volume
Population,Computer science,Symbol,Emergency management,Artificial intelligence,Digital marketing,Public opinion,Affective computing,Cognition,Cybernetics,Machine learning
Journal
2015
Issue
ISSN
Citations 
1
1687-5265
1
PageRank 
References 
Authors
0.34
7
8
Name
Order
Citations
PageRank
Shuang Huang180.89
Xuan Zhou280.89
Ke Xue310.34
Xiqiong Wan410.34
Zhenyi Yang510.34
Duo Xu611.02
Mirjana Ivanovic754083.40
Xueer Yu810.34