Application of Cooperative Algorithm in Text Feature Acquiring

Text feature acquiring is the key to construct the classifier to classify the text, According to the problem that the text dimension of the original feature vector is reduced and accurate, put forward a text feature acquiring algorithm based on co evolution, the algorithm uses genetic algorithm optimization performance and co evolution can implement multiple population mutual evaluation and competition, effectively reduce the dimension of feature vector of the original text, but also improve the accuracy and robustness of feature value vector, the experiment proved the effectiveness of this method.