Abstract
In this work the CLASITEX+ system for discovers the most important themes treated in a text written in Spanish or English is presented. This system works on the basis of trees of concepts and find: a) the most frequent concepts in the text, b) the relation between these concepts computing the co-ocurrence into the sentences that conform the text. Also CLASITEX+ can give us a distribution map of the most frequent concepts in the text An important characteristic of the system is the amount of concepts in Spanish and English handled by the system, also the execution time in the document analysis is very acceptable.
Cite
CITATION STYLE
Trinidad, J. F. M., Martínez, B. B., Arenas, A. G., & Shulcloper, J. R. (1998). CLASITEX+: A tool for knowledge discovery from texts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1510, pp. 459–467). Springer Verlag. https://doi.org/10.1007/bfb0094850
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