RETRACTED: Classification Algorithm of Legal Text Law Based on Wireless Communication Technology and Mobile Edge Computing (Retracted Article)

Because the similarity between texts is not fully considered in traditional methods, it takes a long time to classify text, and the accuracy of text classification is not high and the classification results are not comprehensive. A new classification algorithm of legal text law based on wireless communication technology and mobile edge computing is proposed. The linear graph is established to obtain the sample subspace, and the similarity of the sample data in the subspace is calculated, and the samples with high similarity are preliminarily divided. According to the preprocessing results, use wireless communication technology to design the legal text conversion unit, and further convert the highly relevant data into a space. Then establish a text classification model based on mobile edge computing technology, select Kaos as the modeling language to realize the model construction, and use the model to complete the fast and accurate classification of legal texts. The highest classification accuracy of the proposed method is 95%. The analysis of specific comparative experiments shows that the proposed algorithm can solve the problems of the existing methods, such as low classification accuracy, long classification time and incomplete classification results of legal texts, and has high use value.