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Based on the introduction of the traditional feature weighting algorithm TF-IDF, based on the phenomenon that the eigenvalue extraction is not effective when the text to be classified is not uniform, an improved TF-IDF algorithm is proposed in this paper, which considers the uneven text distribution Inside. The experimental results show that the results obtained by the classification algorithm using the improved algorithm are better than the original algorithm in terms of accuracy and recall and make up for the defects of the original TF-IDF algorithm.

Improvement and Implementation of Feature Weighting Algorithm TF-IDF in Text Classification