Tendencias en la sumarización lingüistica de datos: LINGUISTIC DATA SUMMARIZATION AND OVERVIEW

Iliana  Pérez Pupo; Pedro Yobanis Piñeiro Pérez; Nayma  Martín Amaro; Rafael Esteban  Bello Pérez

Authors

Iliana Pérez Pupo Universidad de Ciencias Informáticas
Pedro Yobanis Piñeiro Pérez Universidad de Ciencias Informáticas
Nayma Martín Amaro Universidad de Ciencias Informáticas
Rafael Esteban Bello Pérez Universidad Central de Las Villas "Marta Abreu"

Keywords:

knowledge discovery; linguistic data summarization; linguistic summaries.

Abstract

Linguistic data summarization techniques have emerged to help discover complex relationships between variables and present information in natural language. In the development of these techniques, artificial intelligence, statistics, machine learning, among other areas of human knowledge, are combined. This research aims to carry out a study of the state of the art of the subject that allows researchers to analyze the evolution and trends in its development. Trends in abstract generation methods, validation strategies used in research, and main areas of application are analyzed. As conclusions, the need to improve validation methods, emerging techniques in the generation of summaries and the possibility of using summaries in prediction problems, among others, are identified.

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