A Deep Learning Text Classification Method Integrating Shallow Semantic Prediction Modalities

Abstract

The invention discloses a deep learning text classification method that integrates shallow semantic prediction modalities. The method includes: firstly implementing conventional CNN deep learning training on the text corpus, including word embedding, convolution, pooling and pattern output; secondly Using the domain vocabulary dictionary as the shallow semantic vocabulary, based on the shallow semantic vocabulary, the shallow semantic prediction mode is calculated; next, the shallow semantic prediction mode and the deep learning decision-making mode are dual-modally fused as SDG-CNN The final decision-making mode of the model, and then use the decision-making mode to construct the loss function and implement parameter optimization. The invention solves the defects of lack of background knowledge and semantic information and single information mode in the traditional deep learning model in the model optimization process, and improves the performance of the deep learning text classification model.

Description

technical field [0001] The invention relates to the fields of deep learning and text classification, in particular to a deep learning text classification method integrating a shallow semantic pre-judgment mode. Background technique [0002] Text classification refers to the process of predicting category attribution for a large amount of unstructured text corpus according to a given classification system. With the breakthrough of deep learning technology, deep learning models represented by convolutional neural networks have achieved good results in text classification. But overall, the accuracy and reliability are far from practical levels, which is caused by the lack of prior knowledge of deep learning. Because big data-driven deep learning models can only find statistical conclusions in the data set, it is difficult to effectively utilize prior knowledge. Integrating prior knowledge into deep learning models is an idea to solve the bottleneck of deep learning. Shallow ...

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a deep learning text classification method SDG-CNN (Semantic Decision Guide Convolutional Neural Network) integrating shallow semantic prediction mode, which overcomes the lack of background knowledge and semantic information in the process of model optimization of traditional deep learning models, Flaws of a single information modality

Images