A Text Classification Algorithm based on Feature Weighting

The text classification comes down to match according to certain characteristics of the data to be classified. Of course, the complete match is not possible, so the optimal matching result must be selected to complete the classification. Aiming at the shortcomings of the traditional KNN text classification algorithm, a KNN text classification algorithm based on feature weighting is proposed. The algorithm considers the contribution of each dimension to the classification of the model, gives different characteristics to different weights, improves the function of important features, and improves the classification accuracy of the algorithm.