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Supervised learning models assume that the training and test data are drawn from the same underlying distribution. These algorithms become ineffective when such assumptions are violated. Therefore, domain adaptation methods were proposed to handle data from different, yet correlated distributions. They have been applied in many fields such as computer vision, sentiment analysis, natural language processing...
As the prevalence of social media on the Internet, opinion mining has become an essential approach to analyzing so many data. Various applications appear in a wide range of industrial domains. Meanwhile, opinions have diverse expressions which bring along research challenges. Both of the practical demands and research challenges make opinion mining an active research area in recent years. In this...
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