Application of TF-IDF factor in the semantic analysis of a documentary collection
DOI:
https://doi.org/10.5195/biblios.2015.227Keywords:
Semantic analysis, TF - IDF, Information retrieval, Data mining, Knowledge discoveryAbstract
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.Downloads
Published
2015-11-24
How to Cite
Vuotto, A., Bogetti, C., & Fernández, G. (2015). Application of TF-IDF factor in the semantic analysis of a documentary collection. Biblios Journal of Librarianship and Information Science, (60), 1–13. https://doi.org/10.5195/biblios.2015.227
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