A text mining-based approach for analyzing information retrieval in Spanish: Music data collection as a case study

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Abstract

This paper presents a text mining-based search approach aimed at information retrieval in the Spanish language. For this purpose, a tool has been developed in order to facilitate and automate the analysis and retrieval, allowing the user to apply different analyzers when carrying out a query, to index and delete documents stored in the system and to evaluate the recovery process. To this extent, a dataset consisting in 27 songs has been used as a case study. Different queries have been made to investigate about the best fitting approaches to the Spanish language and their suitability depending on the query text.

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Ramos-González, J., & Martín-Gómez, L. (2019). A text mining-based approach for analyzing information retrieval in Spanish: Music data collection as a case study. In Advances in Intelligent Systems and Computing (Vol. 801, pp. 259–266). Springer Verlag. https://doi.org/10.1007/978-3-319-99608-0_29

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