Keyword Extraction Based on Random Forest and XGBoost - An Example of Fraud Judgment Document
Tianchi Zhou, Hong Zhao, Xuechen Zhang · 2022
Fraud is a common crime and its constituent elements are extremely complex. In recent years, telecommunication fraud and Internet fraud are particularly frequent, and the government has taken many measures to enhance the anti-fraud awareness of the general public. So, the study of the characteristics of fraud is of great significance. This paper studied the problem of key word extraction using random forest and XGboost model. The data are selected from the judgment documents about fraud crimes in China Judgments Online from 20l8 to 202l. The two models well extract the keywords that can reflect the characteristics of fraud crimes and certain characteristics of fraud crimes are analyzed by keywords to change over time.