Research on the Automatic Classification Method of Archival Information Text Based on the Improved KNN Algorithm
The conventional automatic classification method of archival information text mainly uses Bloom two-dimensional classification matrix to annotate classification features,resulting in low classification evaluation indicators.Therefore,the automatic classification method of archival information text based on the improved KNN algorithm is proposed.Namely,the automatic classification features of archive information texts are extracted,and the improved K-Nearest Neighbor(KNN)algorithm is used to optimize the automatic classification process of archive information texts,achieving automatic classification of archive information texts.The experimental results show that the automatic classification method of archival information text based on the improved KNN algorithm has high weighted-P,weighted-R,and weighted-F,which proves that this method has good classification effect and has certain application value.
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