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In recent years, Internet provides a unique opportunity to express and spread public sentiment, which makes the web contents becoming the largest information source of public sentiment. Since web public sentiment reflects people's attitude to society and politics, the public opinion's orientation is significant to decision-makers. In this paper, the authors utilize VSM (Vector Space Model) to present the text orientation of web information and offer data-mining approaches to analyze public opinion's orientation, which can assist decision-makers to steer social information and guide the web public sentiment.
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