TF-IDF因子在文献收集语义分析中的应用

IF 0.1 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE
Andrés Vuotto, Celeste Bogetti, Gladys Fernández
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引用次数: 1

摘要

目标。本文描述了一种基于术语频率逆文档频率(TF - IDF)的文档集合语义分析工具的应用。方法。本系统基于PHP和MySQL数据库,实现了对一个词库的管理、TF - IDF的计算(作为语义权重的指标)和关联树的开发(由那些被开发的概念组成的最相关的问题进行了分析)。该工具在心理学纪实集的语义分析中进行了测试。结果。该系统能够识别跟踪存在的水平:职业道德,在收集文件心理学程序。结论。所描述的经验证实了该工具用于单据收集的语义分析的可行性。它强调了信息专业人员开发这种处理信息的工具的相关性和能力。作者提出了一种使用脚本和信息流的特殊技术方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aplicación del factor TF-IDF en el análisis semántico de una colección documental
Objective . This paper describes the application of a tool for the semantic analysis of a document collection based on the use of term frequency–inverse document frequency (TF – IDF). Methodology . A system based on PHP and MySQL database for the management of a thesaurus, the calculation of TF – IDF (as an indicator of semantic weight) and for development a relevance tree (consisting of those concepts is developed most relevant issue analyzed). The tool was tested to the semantic analysis of a documentary collection of Psychology. Results . The system was able to identify the level of track presence: professional ethics, in a collection of documents Psychology program. Conclusions . The experience described confirms the viability of the tool for the semantic analysis of a documentary collection. It underlines the relevance and capacities of information professionals to develop this kind of tools for processing information. The authors suggests a special technical approach for use of scripts and information flows.
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来源期刊
CiteScore
0.10
自引率
0.00%
发文量
12
审稿时长
10 weeks
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