Intelligent classification of digital text based on machine learning

Xin Fang; YuanLong Dong; Xin Zhao

doi:10.1117/12.2658848

23 November 2022 Intelligent classification of digital text based on machine learning

Xin Fang, YuanLong Dong, Xin Zhao

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 1245429 (2022) https://doi.org/10.1117/12.2658848
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

The accuracy of the current digital text intelligent classification results is low, which leads to the classification efficiency and quality can not achieve the desired goal and restricts the collaborative development of text information accuracy, efficiency, intelligent retrieval, and mining. To solve this problem, based on the traditional text classification method, this study introduces the concept of machine learning and designs a new intelligent classification method for digital text. Firstly, the digitized text is preprocessed to reduce the length of the digitized text; then, the feature weight of the word frequency of the digitized text is calculated to provide data support for the subsequent text intelligent classification; finally, a machine learning classification model is established to intelligently classify the digitized texts. The experimental analysis shows that the accuracy of the new text classification method is more than 96. 87% in all categories of data sets, which has a significant advantage over the traditional method, and the classification processing time is shorter and the feasibility is higher.

Citation Download Citation

Xin Fang, YuanLong Dong, and Xin Zhao "Intelligent classification of digital text based on machine learning", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 1245429 (23 November 2022); https://doi.org/10.1117/12.2658848

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