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Microblog Sentiment Analysis (MSA) is a popular and important theme in social networks. Microblog platform such as Twitter, can collect rich microblogging messages everyday. However, for MSA tasks, it is still difficult and costly to collect sufficient manual sentiment labels for training. There are rich unlabeled microblogging messages, but only a few manual labeled messages. In this paper, we propose...
We examine whether aggregate daily Twitter keyword volumes over eight months from November 2011 to June 2012 can be used to predict aggregate daily consumer spending as reported by Gallup. We also examine whether Twitter keyword volume improves predictive ability over prediction based solely on current spending, weekday spending norms, and spending history. We divide spending and Twitter data into...
Large-scale user contributed images with tags are easily available on photo sharing websites. However, the noisy or incomplete correspondence between the images and tags prohibits them from being leveraged for precise image retrieval and effective management. To tackle the problem of tag refinement, we propose a method of Ranking based Multi-correlation Tensor Factorization (RMTF), to jointly model...
With the emergence of microbloggling in China, how to expand enterprise influence by microblogging marketing has been becoming a hot topic. According to AISAS theory (Attention, Interest, Search, Action, Share), this paper establishes an AR(1) model (first-order auto-regressive model) describing the relationship between the followers' number and influence of microblogging. With data acquired from...
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