Attention mechanism-based copywriting input recognition and classification method for judicial scenes

Abstract

The invention discloses an attention mechanism-based copywriting input recognition and classification method for judicial scenes in the technical field of copywriting input recognition and classification. The attention mechanism-based copywriting input recognition and classification method comprises the following specific steps: first, obtaining a text dataset, and constructing a semantic extension matrix; performing feature selection on the preprocessed text, and forming a feature space of the text data set; importing data in the embedded matrix into an attention mechanism weight model of anattention mechanism module, a double-layer LSTM neural network layer and a CNN module; splicing and fusing the data of different dimensions; importing the processed data into a Softmax classifier to carry out normalization processing; using global long-term dependence to pay attention to local semantic features, so as to remove redundant or irrelevant features, and improve the text classificationefficiency; and fusing the extracted features, so that extract deep semantic features in the text corpus are extracted in a rich and careful mode, and then the judicial short text feature recognitioncapacity of the model is improved, and the judicial copywriting text recognition and classification efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of text input recognition and classification, in particular to an attention mechanism-based method for text input recognition and classification in judicial scenarios. Background technique [0002] Search engine technology is a new technology that has emerged in the development of the Internet in recent years. The purpose of its application is to help Internet users quickly find and display the information they need in the vast amount of information. Quickly find and display the information they need, there are many types of judicial texts, and to put it bluntly, search engines are a means of classification. Sorting technologies such as the inverted index of the company return the results that users want. In the process, the user input text has the characteristics of ambiguity, multi-intent, and irregularity, so there are various input methods such as irregular input text and irregular user input. Irregular...

AI Technical Summary

Problems solved by technology

[0002] Search engine technology is a new technology that has emerged in the development of the Internet in recent years. The purpose of its application is to help Internet users quickly find and display the information they need in the vast amount of information. Quickly find and display the information they need, there are many types of judicial texts, and to put it bluntly, search engines are a means of classification. Sorting technologies such as the inverted index of the company return the results that users want. In the process, the user input text has the characteristics of ambiguity, multi-intent, and irregularity, so there are various input methods such as irregular input text and irregular user input. Irregular feature words and unregistered words that cannot be recognized by word segmentation dictionaries appear in the text. Traditional text classification cannot understand the primary and secondary of user query intentions, which increases the difficulty of classification and to a certain extent leads to the inability to accurately obtain short texts. feature representation, the efficiency of classification is not high, therefore, we propose a judicial scene based on attention mechanism to recognize and classify copywriting input