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With great development of the e-commerce, the number of product reviews grows rapidly on the e-commerce website. Review mining has recently received a lot of attention, which aims to discover valuable information from the massive product reviews. An important subject of review mining is review spam classification, which classifies reviews into reviews or spam reviews, offering high-quality data to review mining. In this paper, we first present a categorization of Chinese review spam, and then classify the reviews by using machine learning method with different features, finally analyze the impact of different features on classification performance. The experiments show that Chinese review spam classification will obtain high accuracy by using machine learning method with appropriate features.