We investigated dependency parsing based algorithm and keyword matching based algorithm for feature-based opinion mining. We construct a product features library and a Chinese polarity Dictionary.
设计并实现了基于依存句法分析的细颗粒意见挖掘算法和基于关键字匹配的细颗粒意见挖掘算法，并构建产品特征库和中文极性词典。
This algorithm firstly searches for the matching keyword nodes of the query keywords, and then Bridges these keyword nodes through the central node of them to construct the subgraph.
该算法首先搜索得到与查询关键字匹配的关键字节点，再由这些关键字节点的中心节点将它们连接成子图。
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