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User-generated reviews on the e-commerce site reflect consumers' sentiment about products, which can further direct consumers' purchasing behaviors and sellers' marketing strategies. In this paper, we propose a semi-supervised approach to mine the aspects of product discussed in Chinese online reviews and also the sentiments expressed in different aspects. We first apply the Latent Dirichlet Allocation...
Product reviews can direct consumers' purchasing behavior and sellers' marketing strategy. Therefor, in this paper, we propose a novel method which combines lexicon-based and learn-based techniques in order to solve cross-domain sentiment analysis of product reviews. We first create three domain lexicons based on the basic lexicon and corpus from three domains containing book, hotel and electronics...
With the development of the Internet, people share their emotion statuses or attitudes on online social websites, leading to an explosive rise on the scale of data. Mining sentiment information behind these data helps people know about public opinions and social trends. In this paper a sentiment analysis algorithm adapting to Weibo (Microblog) data is proposed. Given that a Weibo post is usually short,...
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