Webpage text classification method based on enhanced capsule network and storage medium

Abstract

The invention discloses a webpage text classification method based on an enhanced capsule network and a storage medium thereof, and the method comprises the steps: crawling webpage text data in a specific field, carrying out the cleaning and data structuralization of the obtained text data, and finally obtaining an experiment corpus; setting an architecture of an enhanced capsule network, whereinthe architecture sequentially comprises a dense convolutional network, a main capsule layer and a digital capsule layer; and training the enhanced capsule network by taking the training data in the training set as the input of the enhanced capsule network to obtain a classifier, and verifying the accuracy of the classifier by using the test data of the test set. According to the method, the denseconvolutional network is introduced to extract the feature information, so that the features are more discriminative, and the learning ability of the model on a data set is improved. And the main capsule layer is further encoded by adopting a dynamic routing mechanism, so that the obtained features are more directional, and the capsule network is more robust.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, and specifically relates to a web page text classification method and storage medium based on an enhanced capsule network, and the method is particularly suitable for related fields such as social public security incidents. Background technique [0002] With the development of Internet technology, the amount of data related to social public security events on the Internet has exploded. Public security incidents are incidents that endanger the life, health, and property of the majority (not all people, nor individuals), and may cause a series of public problems, which in turn lead to the collapse of the value system and social order disorder. Public safety incidents are usually divided into natural disasters, accident disasters, public health, and social security. Collecting a large amount of relevant webpages and information of social public security event data from t...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the problems of low overall accuracy and loss of a large amount of important information in the process of feature extraction in the existing technology, the present invention proposes a text classification method for social public safety event web pages based on enhanced capsule network

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