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Sentiment Analysis for Human Resources: A Comparative Analysis of Methods That Can Be Used Along With Modern Technologies

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  • Laura-Gabriela TANASESCU

Abstract

This paper offers an integrated vision for supporting the challenges that most of organizations meet when discussing about human resources. One of scenarios addressed nowadays with analytics and AI is related to sentiment analysis that can contribute to employee retention, efficiency and development. The paper will provide an interesting approach that takes advantage of data with the power of cloud and natural language processing. The aim of this research will be to compare a cloud-based approach, integrated with artificial intelligence and a more classical one that uses R as development language for a lexicon-based analysis. Finally, it will be presented the benefits and ease of use for the technologies used, as well as for the results obtained.

Suggested Citation

  • Laura-Gabriela TANASESCU, 2021. "Sentiment Analysis for Human Resources: A Comparative Analysis of Methods That Can Be Used Along With Modern Technologies," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 25(2), pages 40-49.
    • Handle: RePEc:aes:infoec:v:25:y:2021:i:2:p:40-49
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    References listed on IDEAS

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    1. Edmans, Alex, 2011. "Does the stock market fully value intangibles? Employee satisfaction and equity prices," Journal of Financial Economics, Elsevier, vol. 101(3), pages 621-640, September.
    2. Laura-Gabriela Tanasescu, 2020. "Business Intelligence and Machine Learning. Integrated cloud solutions providing business insights for decision makers," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(1), pages 24-36.
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