Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Emotion aware mobile application
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Does it matter if a computer jokes
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Automatic emotion annotation of movie dialogue using WordNet
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
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We propose a human emotion regarding social network, namely, the Affective Social Network. Our suggestion firstly builds a user's emotion profile in terms of the personality, mood and emotion by analysing the user's activities in social network. This subsequently builds an Emotional Relationship Matrix (ERM) which represents the depth of the emotional relationship based on the emotion profile. From our proposal, the more elaborate services based on the current user's emotional state can be provided to users. By considering emotional aspects in a social network, we can effectively answer which users or media contents will show the best results for inducing users' emotional states. From the experiments, we verified that message containing emotional words and users' relationship in a social network has significant correlations.