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Mayte MODESTO-JAVIER1, Smart VELÁSQUEZ-TAMAYO1, Javier GAMBOA-CRUZADO2, Guillermo PAUCAR-CARLOS3, Juan GAMARRA-MORENO4 and Fernando SINCHE CRISPÍN5

1Universidad Autónoma del Perú, Lima, Perú

2Universidad Señor de Sipán S.A.C., Chiclayo, Perú

3Universidad Nacional de San Antonio Abad del Cusco, Cusco, Perú

4Universidad Nacional Mayor de San Marcos, Lima, Perú

5Universidad Nacional de Huancavelica, Huancavelica, Perú

Abstract

Text analysis is a fundamental tool in the development of education. However, UNESCO figures indicate that the majority of children have comprehension difficulties, which can result in reasoning problems, difficulty in understanding the theory, and gaining knowledge. This article presents a systematic review of the literature (SRL) regarding text analysis and the use of machine learning (ML) to improve this process. The results indicate that ML learning techniques are effective in the improvement of text analysis.

Keywords: Machine Learning, Text Analysis, Natural Language Processing, Systematic Literature Review.
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