Spectrep: A software for spectral representation of text content

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

SoftwareX Pub Date : 2024-08-22 DOI:10.1016/j.softx.2024.101849

Melesio Crespo-Sanchez , Ivan Lopez-Arevalo , Edwin Aldana-Bobadilla , Helena Gomez-Adorno , Jose Luis Gonzalez-Compean

引用次数: 0

Abstract

Spectrep (Spectral Representation) implements a text representation framework for obtaining a multi-view representation that consolidates lexical, syntactic, and semantic features by structuring a workflow with popular text processing tools such as NTLK, Gensim, and Self-Organizing Maps. This framework is intended to be used in text pre-processing for its application in more robust machine learning applications. This software is open-source and implemented in Python. It has been successfully tested with several tasks to prove its functionality.

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Spectrep：文本内容光谱表示软件

Spectrep（光谱表征）实现了一个文本表征框架，通过与流行的文本处理工具（如 NTLK、Gensim 和自组织图）构建工作流程，获得了一个多视角表征，整合了词法、句法和语义特征。该框架旨在用于文本预处理，以便将其应用于更强大的机器学习应用中。该软件是开源的，用 Python 实现。为了证明其功能性，它已成功通过了多项任务测试。

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

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.