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
Volume 2020 (7),
Article ID 3667620,
AI, Data Mining and Data-Driven Solutions in Different Fields: 36AI 2020
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.