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。
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。
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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