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Sentiment analysis is the computational study of how opinions, attitudes, emotions, and perspectives are expressed in language, and has been the important task of natural language processing. Sentiment analysis is highly valuable for both research and practical applications. The focuses were put on the difficulties in the construction of sentiment classifiers which normally need tremendous labeled...
There are many challenges for sentiment classification of user-generated content (UGC) on social media platforms such as micro-blogs. Context dependence, which has been the most challenging problem, is focused on in this paper, and a novel semi-supervised framework is proposed to address the problem. By dividing the feature space of sentiment classification into two parts including the general features...
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