A method for optimizing text preprocessing and text classification using multiple cycles of learning with an application on shipbrokers emails

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-01-30 DOI:10.1080/02664763.2024.2307535

Grigorios Papageorgiou, Polychronis Economou, Sotirios Bersimis

引用次数: 0

Abstract

Optimizing text preprocessing and text classification algorithms is an important, everyday task in large organizations and companies and it usually involves a labor-intensive and time-consuming eff...

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利用多次循环学习优化文本预处理和文本分类的方法，在船舶经纪人电子邮件中的应用

优化文本预处理和文本分类算法是大型组织和公司的一项重要日常任务，通常需要耗费大量人力和时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.