Applicability of Machine Learning in the Measurement of Emotional Intelligence

  • Manish Sharma
  • Shikha N. KheraEmail author
  • Pritam B. Sharma


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.


Trait Meta Mood Scale Neural networks Regression Machine learning Emotional intelligence 


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Manish Sharma
    • 1
  • Shikha N. Khera
    • 1
    Email author
  • Pritam B. Sharma
    • 2
  1. 1.Delhi Technological UniversityNew DelhiIndia
  2. 2.Amity UniversityManesarIndia

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