The Model Of Affective Computing And Symbiotic Evolution For Microblog Information Users

“Affective computing” is defined as “the calculation about emotions, triggered or impact by theemotions". Microblog with shortage to win majority of users, and it becomes the platform to sharewith social friends and express emotion. By the end of2012, the number of tencent microblogregistered account has reached540million and sina microblog users have been more than500million.Thus affective computing based on microblog users is outstanding in artificial intelligence.The existing research about affective computing has been matured in the static aspect, butdynamic analysis from the multiple perspectives is in the preliminary phase. The rapid development ofweb2.0, the vocabulary, pictures, emoticons, etc has appeared various polarity, then can be dividedinto positive, negative and uncertainty. In addition, due to social, etc. external factors, the users’emotion are complex, mixed emotion may exist simultaneously. Therefore, the paper attempts to finda new model to calculate and analyze the users’ emotion from various angles, to predict emotionaltrend. And the symbiosis evolution model was put forward to solve emotional influence maximization.First, integrating set pair into users’ emotion analysis to build an emotional calculation model,and analyse the users’ emotion tendency from positive, neutral and negative etc, building the weightedset pair emotional connection degree for single and multiple microblog respectively, through examplesto verify effectiveness of model.Secondly, emotional potential and generalized emotional potential were proposed which based onthe set pair potential, and the expression of emotional optimism potential and emotional pessimisticpotential were given from optimism and pessimism. Through the analysis of the transformation ofemotional potential, then built the emotional dynamics migration model for microblog, and putforward the algorithm to calculate the emotional potential, and through experiments it demonstratesthe efficiency of model and algorithm.Finally, by analyzing the forward relation among microblog can obtain the influence degree byothers, using the dynamic transformation of emotional connection degree to analyze emotionaltendency, and propose the set pair emotional symbiosis evolution model, through the Sina microblogto analyze the users’ impact to verify the model is reasonable.