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Titlebook: Social Media Processing; Third National Confe Heyan Huang,Ting Liu,Jie Tang Conference proceedings 2014 Springer-Verlag Berlin Heidelberg 2

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Predicting the Popularity of Messages on Micro-blog Services,f a tweet by finding top-. similar tweets published by the same author. To find the . similar tweets we consider both content similarity and temporal similarity. Meanwhile, we also integrate our method into a classical classification method and prove our method can improve the results significantly.
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Inferring Emotions from Social Images Leveraging Influence Analysis,e emotions of social images. The experimental results shows a 23.71% promotion compared with Naïve Bayesian method and a 21.83% promotion compared with Support Vector Machine (SVM) method under the evaluation of F1-Measure, which validates the effectiveness of our method.
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Emotion Evolution under Entrainment in Social Media,dicate that interaction partners with strong reciprocal entrainment tend to assume similar emotion states, and negative emotion is more empathetic in an intimate relationship. Especially, when the relationship is balanced, users are more emotionally similar to each other.
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Relationship between Reviews Polarities, Helpfulness, Stars and Sales Rankings of Products: A Case mal combinations. In addition, in consideration of helpfulness, the combination of number of positive reviews, score of review stars and score of frequent aspects is the most correlative combination. In this paper, although reviews on Amazon.cn are written in Chinese, our method is language independent.
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Gender Identification on Social Media,mprove the accuracy of the classfication models, we propose a novel feature selection algorithm and a retrained multiattribute model. Experimental results show that the accuracy of our approach achieves 89.01% which is better than any previous work in this problem.
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Conference proceedings 2014 November 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 101 submissions. The papers focus on the following topics: mining social media and applications; natural language processing; data mining; information retrieval; emergent social media pr
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