A Lens into Employee Peer Reviews Via Sentiment-Aspect Modeling

Maurya, Abhinav; Akoglu, Leman; Krishnan, Ramayya; Bay, Daniel

doi:10.1109/asonam.2018.8508512

Cited by 1 publication

(2 citation statements)

References 13 publications

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“…Another possible alternative for such a process is the so called ''pair evaluation'' or ''peer review''. In this scenario, the employee's performance is evaluated by the colleagues that work close to him or her [17] (possibly on the same hierarchical level).…”

Section: A Human Resource Evaluation Methodologiesmentioning

confidence: 99%

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A Process for Human Resource Performance Evaluation Using Computational Intelligence: An Approach Using a Combination of Rule-Based Classifiers and Supervised Learning Algorithms

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Oliveira

2020

IEEE Access

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This paper proposes a process for human resource performance evaluation using computational intelligence techniques. The human resource (or employee's) performance evaluation is essentially a regular assessment and review of an employee's performance on the job. This evaluation can be performed in different ways, depending on the kind of job of the employee and on the company's politics or business area. The process proposed on this research combines Fuzzy logic, text sentiment analysis and supervised learning classification techniques, such as a multi layer perceptron artificial neural network, decision tree algorithms and naïve bayes into ensemble classifiers, in an attempt to provide a fair evaluation process, minimizing or even eliminating common problems caused by simple objective or subjective approaches. The data provided for this research was originated from several evaluations applied in two Brazilians institutions. Simulation results shows consistence on the data generated by this proposed process, indicating a good perspective for applications on companies of most business areas.

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Section: A Human Resource Evaluation Methodologiesmentioning

confidence: 99%

“…The work of [17] presents a look into employee's performance review using sentiment analysis. The research studies a big amount of text originated from peer analysis and proposes a way to identify certain aspects that would be difficult to appear on a superficial analysis.…”

Section: A Bibliographic Review and Related Workmentioning

confidence: 99%

A Process for Human Resource Performance Evaluation Using Computational Intelligence: An Approach Using a Combination of Rule-Based Classifiers and Supervised Learning Algorithms

Goes

Oliveira

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

A Lens into Employee Peer Reviews Via Sentiment-Aspect Modeling

Cited by 1 publication

References 13 publications

A Process for Human Resource Performance Evaluation Using Computational Intelligence: An Approach Using a Combination of Rule-Based Classifiers and Supervised Learning Algorithms

A Process for Human Resource Performance Evaluation Using Computational Intelligence: An Approach Using a Combination of Rule-Based Classifiers and Supervised Learning Algorithms

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