TY - GEN
T1 - Text Mining Techniques and Pre-trained Models Applied to the Issues in Pictograms
T2 - International Conference of Applied Engineering and Innovative Technologies, AENIT 2023
AU - Patiño-León, Andrés
AU - Zambrano-Martinez, Jorge Luis
AU - Orellana, Marcos
AU - Serrano, María Verónica
AU - Ramón, Daniel
AU - Cedillo, Priscila
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Currently, a fundamental action for people of any age is proper communication with their environment, so new ways are sought to perform them, such as using Augmentative and Alternative Communication (AAC) for people with Complex Communication Needs (CCN). This type of communication through technological tools allows people with CCN to transmit and receive messages through pictograms. However, these people have issues with pictogram selection in assisted communication systems, such as the low quality of sentences produced, even though some algorithms and methodologies allow pictograms to be found in a reasonable time. For this reason, this article presents a Systematic Literature Review (SLR) to synthesize primary studies and identify the data science tools, methods, and approaches used in pictograms to facilitate communication in people with Complex Communication Needs. 508 articles were extracted, of which only 42 were selected after applying the exclusion and inclusion criteria and the quality assessment. The results obtained could help establish research gaps and thus contribute to creating new techniques and algorithms in data science based on the above topics.
AB - Currently, a fundamental action for people of any age is proper communication with their environment, so new ways are sought to perform them, such as using Augmentative and Alternative Communication (AAC) for people with Complex Communication Needs (CCN). This type of communication through technological tools allows people with CCN to transmit and receive messages through pictograms. However, these people have issues with pictogram selection in assisted communication systems, such as the low quality of sentences produced, even though some algorithms and methodologies allow pictograms to be found in a reasonable time. For this reason, this article presents a Systematic Literature Review (SLR) to synthesize primary studies and identify the data science tools, methods, and approaches used in pictograms to facilitate communication in people with Complex Communication Needs. 508 articles were extracted, of which only 42 were selected after applying the exclusion and inclusion criteria and the quality assessment. The results obtained could help establish research gaps and thus contribute to creating new techniques and algorithms in data science based on the above topics.
KW - Augmentative and alternative communication
KW - Data science
KW - Natural language processing
KW - Pictograms
KW - Text mining
UR - https://www.scopus.com/pages/publications/105038627924
U2 - 10.1007/978-3-031-70760-5_31
DO - 10.1007/978-3-031-70760-5_31
M3 - Contribución a la conferencia
AN - SCOPUS:105038627924
SN - 9783031707599
T3 - Lecture Notes in Networks and Systems
SP - 325
EP - 341
BT - Applied Engineering and Innovative Technologies - Proceedings of AENIT 2023
A2 - Vizuete, Marcelo Zambrano
A2 - Tobar, Miguel Botto
A2 - Casillas, Sonia
A2 - Toro, Miguel Naranjo
A2 - Andrade, Andrea Basantes
A2 - Carrasco, Francisco Pérez
A2 - Durakovic, Benjamin
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 22 November 2023 through 24 November 2023
ER -