Intelligent law article recommendation auxiliary system based on FastText algorithm

Abstract

The invention discloses an intelligent law article recommendation auxiliary system based on a FastText algorithm. The intelligent law article recommendation auxiliary system comprises a judgment document data set, a word vector text library, law word vectors, a document vector text library and a text classification model, wherein the judgment document data set is used for storing judgment documents; the word vector text library is used for storing text segment categories, and the document vector text library is used for storing text segment categories; each text segment category is the contentin the judgment document; the law word vector is obtained by taking a pre-trained general word vector as an initial vector and training the word vector text library by using a FastText unsupervised learning algorithm; and the text classification model is obtained by taking a trained law word vector as an initial vector and performing text classification on a document vector text library by usingthe FastText supervised learning algorithm. Applicable laws are comprehensively and accurately recommended for case description, a new thought is developed for providing judicial assistance work for artificial intelligence, and text classification models are established for various types of crimes such as cheating crimes, robbery, economic crimes or marriage dispute cases.

Description

technical field [0001] The invention belongs to the field of court trial auxiliary systems, in particular to an intelligent legal article recommendation auxiliary system based on the FastText algorithm. Background technique [0002] With the rapid development of social economy, the situation of litigation explosion has attracted more and more attention, and how to improve the efficiency of case handling has become an urgent problem to be solved. The continuous breakthrough of artificial intelligence in the judicial field just meets the need to improve the efficiency of litigation. For example, judges often face complex cases of different types at the same time, involving complicated laws and regulations, and judicial interpretations, especially judicial interpretations. The Supreme People’s Court often issues the latest judicial interpretations. It is obviously impossible for judges to handle different types of cases at the same time. If you memorize everything by heart, yo...

AI Technical Summary

Problems solved by technology

[0003] The invention solves the technical problem by designing an intelligent legal article recommendation auxiliary system based on the FastText algorithm: it finally achieves a comprehensive and accurate recommendation of applicable legal articles for

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