Research on Key Point Acquisition and Intelligent Classification Technology

DOI: https://doi.org/10.62517/jes.202302209

Author(s)

Niu Lu, Lu Kangning

Affiliation(s)

Zhengzhou Logistic Support Center, Zhengzhou, Henan, China

Abstract

By classifying sensitive information, core technologies can be protected, ensuring information not accessed and used by unauthorized personnel, and preventing information from leakage, theft, and abuse. The effective classification work is able to establish an integral information protection mechanism, improve the level of information security, and protect the interests of all parties. In order to manage classified documents better, this paper proposes a multi-level processing method of dynamic key point acquisition and intelligent key point determination, and deep learning models are used to determine the level of document classification comprehensively. The main work of the paper is as follows: using Hidden Markov Model for part of speech tagging in stuttering segmentation algorithm, implementing word vectors by Word2Vec framework, and using CBOW model to predict center words based on contextual word information, and training the model through BERT to determine the classification level of the text automatically.

Keywords

Key Point Acquisition; Intelligent Encryption Point Determination; Skip-gram Algorithm; CBOW Model

References

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