在R中快速和可移植的字符串处理

IF 5.4 2区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Software Pub Date : 2022-01-01 DOI:10.18637/jss.v103.i02

M. Gagolewski

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引用次数: 26

摘要

在数据分析管道的各个阶段都需要对字符串进行有效的处理:从数据清理和准备，到信息提取，再到报告生成。模式搜索、字符串整理和排序、规范化、音译和格式化在文本挖掘、自然语言处理和生物信息学中无处不在。本文讨论并演示了如何以及为什么应该将stringi(一个成熟的R包，用于基于ICU (Unicode国际组件)的快速和可移植的字符串数据处理)包含在每个统计学家或数据科学家的技能库中，以补充他们的数值计算和数据整理技能。

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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stringi: Fast and Portable Character String Processing in R

Effective processing of character strings is required at various stages of data analysis pipelines: from data cleansing and preparation, through information extraction, to report generation. Pattern searching, string collation and sorting, normalization, transliteration, and formatting are ubiquitous in text mining, natural language processing, and bioinformatics. This paper discusses and demonstrates how and why stringi, a mature R package for fast and portable handling of string data based on ICU (International Components for Unicode), should be included in each statistician’s or data scientist’s repertoire to complement their numerical computing and data wrangling skills.

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来源期刊

Journal of Statistical Software 工程技术-计算机：跨学科应用

CiteScore

10.70

自引率

1.70%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.