Text classification method based on deep learning hybrid model

Abstract

The invention belongs to the field of text classification, and particularly discloses a text classification method based on a deep learning hybrid model, which comprises the following steps: acquiringand importing sample data, and preprocessing the sample data; randomly mixing the obtained text features, importing the text features into the deep learning model again, and carrying out secondary training; adopting a Boolean logic model to carry out feature representation on the obtained text features after hybrid training; importing the feature representation into an automatic encoder trainingmodel to construct an encoding model to obtain implicit features between an imported text and an exported text; classifying the obtained implicit feature representation; according to the invention, first-time deep learning is carried out; according to the text classification method, the text features are introduced into the deep learning model again for secondary training, the bidirectional invisible features of the text are extracted under the extraction of the hybrid automatic encoder training model, and the text features are progressively extracted step by step by using the deep learning model, so that the text feature highlighting effect is good, and the text can be more quickly and effectively classified accurately.

Description

technical field [0001] The invention relates to the field of text classification, in particular to a text classification method based on a deep learning hybrid model. Background technique [0002] With the continuous development of the information technology era, the amount of electronic text information has increased rapidly, which means that the era of big data is coming. Therefore, in this context, how to effectively organize and utilize these large amounts of text information becomes particularly important. As the technical basis of information retrieval, digital library, information filtering and other fields, text classification has great application prospects. [0003] Deep learning is a kind of machine learning, and machine learning is the only way to realize artificial intelligence. The concept of deep learning originates from the research of artificial neural networks, and a multi-layer perceptron with multiple hidden layers is a deep learning structure. Deep le...

AI Technical Summary

Problems solved by technology

At present, text classification methods based on deep learning mostly use a single deep learning model for classification, which has high requirements for training corpus and poor portability and scalability, and due to the limitation of features extracted by a single deep learning model, resulting in many classification categories. The classification effect is poor in the case of