Application of TF-IDF factor in the semantic analysis of a documentary collection

• Main Authors: Andrés Vuotto, Celeste Bogetti, Gladys Fernández
• Format: Article
• Language: Spanish
• Published: University Library System, University of Pittsburgh 2015-11-01
• Series: Biblios
• Subjects: Análisis semántico; TF-IDF; Recuperación de información; Minería de datos; Extracción de información en bases de datos
• Online Access: http://biblios.pitt.edu/ojs/index.php/biblios/article/view/227

<strong>Objective</strong>. 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). <strong>Methodology</strong>. 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. <strong>Results</strong>. The system was able to identify the level of track presence: professional ethics, in a collection of documents Psychology program. <strong>Conclusions</strong>. 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.