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Reblogging, also known as retweeting in Twitter parlance, is a major type of activities in many online social networks. Although there are many studies on reblogging behaviors and potential applications, whether neighbors who are well connected with each other (called “buddies” in our study) may make a difference in reblog likelihood has not been examined systematically. In this paper, we tackle the...
Microblogs have become an important platform for people to publish, transform information and acquire knowledge. This paper focuses on the problem of discovering user interest in microblogs. In this paper, we propose a topic mining model based on Latent Dirichlet Allocation (LDA) named user-topic model. For each user, the interests are divided into two parts by different ways to generate the microblogs:...
This paper proposes a new approach to analyze public moods on certain events in micro-blogging. Combining with clinical psychology, we use emotional vector rather than traditional orientation to perform sentiment analysis. The emotional vector could constantly absorb new Internet emotional words with our algorithm and has hierarchical structure so as to do multi-level analysis. Experimental evaluations...
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