数码设计Issue(18)：24-27,4.
基于机器学习的文本处理技术
Text Processing Techniques Based on Machine Learning
季正和1
作者信息
- 1. 中共扬州市邗江区委办公室, 江苏扬州 225009
- 折叠
摘要
Abstract
BERT model is the latest machine learning model popular in recent years.It is able to handle natural language processing tasks such as supervised text classification without human supervision.Due to its flexibility to handle arbitrary corpora,this method is very popular in academia and industry.This paper starts with an introduction to BERT and a review of classical textual approaches.Then,an experimental scenario was designed to test the difference between BERT and traditional text processing methods in text processing.Through comparison,experiments show the superiority of BERT and its independence of text language and other features.关键词
机器学习/自然语言处理/文本处理/BERTKey words
machine learning/natural language processing/text processing/BERT分类
信息技术与安全科学引用本文复制引用
季正和..基于机器学习的文本处理技术[J].数码设计,2023,(18):24-27,4.
