Abstract
This paper describes the design and implementation of a computer platform aimed at monitoring social interaction in subjects with the attention-deficit disorder as a special cognitive condition. Applying Natural Language Processing (NLP) algorithms it is intended to support the monitoring and intervention of individuals with special needs through language analysis such as attention-deficit disorder.
This tool allows the interaction of people through a web platform that can be accessed directly from a terminal computer or a mobile client for exchanging text messages as well as the loading of text where not necessarily corresponds to a conversation but a text written by an individual. The analysis of the texts is carried out through the integration of different algorithms for the application of mathematical techniques, indexes and models related to the processing, obtaining and visualization of the information.
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Vélez, J.I., Castillo, L.F., Bedia, M.G. (2021). S-COGIT: A Natural Language Processing Tool for Linguistic Analysis of the Social Interaction Between Individuals with Attention-Deficit Disorder. In: Dong, Y., Herrera-Viedma, E., Matsui, K., Omatsu, S., González Briones, A., Rodríguez González, S. (eds) Distributed Computing and Artificial Intelligence, 17th International Conference. DCAI 2020. Advances in Intelligent Systems and Computing, vol 1237. Springer, Cham. https://doi.org/10.1007/978-3-030-53036-5_32
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DOI: https://doi.org/10.1007/978-3-030-53036-5_32
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