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Annals of Data Science

Erschienen in:

05.01.2019

Applicability of Machine Learning in the Measurement of Emotional Intelligence

verfasst von: Manish Sharma, Shikha N. Khera, Pritam B. Sharma

Erschienen in: Annals of Data Science | Ausgabe 1/2019

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Abstract

The Trait Meta Mood Scale (TMMS) is one of the widely used instruments for measuring the emotional intelligence. This scale helps in ascertaining the overall emotional intelligence and can be used by organizations to handle the workforce and hence increase the efficiency and effectiveness by taking corrective measures, thereby transforming the organizations. If a large data set is available with some missing value, it becomes difficult to find the overall emotional intelligence of the given group and carry out the statistical analysis. This work proposes a model which applies neural network to find out the missing data and to perform regression. The model provides a flexible system to measure emotional intelligence. It paves a way for the application of machine learning in the TMMS scale of emotional intelligence but also in other scales of emotional intelligence.

Vorheriger Artikel Order Statistics from the Power Lindley Distribution and Associated Inference with Application

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Titel: Applicability of Machine Learning in the Measurement of Emotional Intelligence
verfasst von: Manish Sharma
Shikha N. Khera
Pritam B. Sharma
Publikationsdatum: 05.01.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Annals of Data Science / Ausgabe 1/2019
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI: https://doi.org/10.1007/s40745-018-00185-1

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