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CISTI'2020 - 15th Iberian Conference on Information Systems and Technologies

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Anxiety detection using the AMAS-C test and feeling analysis on the Facebook social network

This research exposes the proposal of a web application based on Facebook, Meaning Cloud and AMAS-C test tools, with the purpose of predicting anxiety in university students. For this purpose, a prediction algorithm was developed that takes the processed information from the publications of the Facebook users and compares it with the information of the previous learning, giving as a result the prediction of total anxiety of the individual. Finally, this research exposes an average absolute error 8 of 84 possible points, corresponding to the AMAS-C test scale, where 5 correct predictions, 12 medium correct predictions and 3 erroneous predictions were obtained. The conclusion is that the tools selected together with the proposed algorithm could be used as an alternative to the AMAS-C test.

Daniel Avila
Universidad de las Fuerzas Armadas ESPE
Ecuador

Ariel Altamirano
Universidad de las Fuerzas Armadas ESPE
Ecuador

Josué Avila
Universidad Central del Ecuador
Ecuador

Graciela Guerrero
Universidad de las Fuerzas Armadas ESPE
Ecuador

 


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