text2graphAPI：将文本文档转换为不同图形表示法的库

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-11-06 DOI:10.1016/j.softx.2024.101888

Andric Valdez-Valenzuela , Helena Gómez-Adorno

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引用次数: 0

摘要

本文介绍了一种名为 text2graphAPI 的新 Python 应用程序接口。它是一个易于使用的库，用于将文本文档转换为不同的图表示法，如单词并发图、异构图和综合句法图。此外，它还包含一个文本预处理模块，支持不同语言的输入文本：英语、西班牙语和法语。这些生成的图结构可用于解决不同领域的任务，如作者分析、信息检索和主题分类等。

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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text2graphAPI: A library to transform text documents into different graph representations

This paper introduces a new Python API called text2graphAPI. It is an easy-to-use library for transforming text documents into different graph representations, such as Word-Cooccurrence, Heterogeneous, and Integrated Syntactic Graphs. In addition, it contains a text pre-processing module that supports input text in different languages: English, Spanish, and French. These generated graph structures can be used to solve tasks in various areas, such as Authorship Analysis, Information Retrieval, and Topic Classification, to name a few.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.