Here, we use the singular value decomposition and principal component analysis for facial feature extraction, using the average distance category as discrimination on the basis of authentication.

其中人脸特征提取采用了奇异值分解和主分量分析法，身份验证则采用了以类内平均距离为判据的算法。

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Finally, the sentence topics extraction and polarity discrimination method to improve, and design with rule-matching algorithm applied to the calculation of the sentence to the sentiment orientation.

最后，对中文句子主题抽取与极性判别方法进行了详细的方法改进，并提出运用搭配规则匹配算法进行句子情感倾向的计算。

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