Sentiment analysis using machine learning: Applied to job interviews

Authors

  • Julio César Martínez Zarate Politécnico Colombiano Jaime Isaza Cadavid
  • Sandra Patricia Mateus Politécnico Colombiano Jaime Isaza Cadavid

DOI:

https://doi.org/10.37467/gka-revtechno.v8.2116

Keywords:

Machine learning

Abstract

In this work, a sentiment analysis model applied to job interviews using machine learning is proposed. A register of gaze fixations was made with "Eye Tracking" techniques. Subsequently, different algorithms of machine learning for sentiment analysis were analyzed, selecting supervised machine learning with Artificial neural networks. Once the model is obtained, it can be applied to job interviews for the staff pick in the organizations, through the interpretation of the eye accessing cues. The job interview is an important process in the staff pick with multiple purposes, including evaluating personality.

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Published

2019-10-23

How to Cite

Martínez Zarate, J. C., & Mateus, S. P. (2019). Sentiment analysis using machine learning: Applied to job interviews. TECHNO REVIEW. International Technology, Science and Society Review Revista Internacional De Tecnología, Ciencia Y Sociedad, 8(2), 63–69. https://doi.org/10.37467/gka-revtechno.v8.2116

Issue

Vol. 8 No. 2 (2019)

Section

Research articles

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