Applying Bert and Vader in HR Sentiment Analysis

Marian Pompiliu Cristescu (), Dumitru Alexandru Mara (), Lia-Cornelia Culda () and Raluca Andreea Nerișanu ()
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Marian Pompiliu Cristescu: Lucian Blaga University of Sibiu, Romania
Dumitru Alexandru Mara: Lucian Blaga University of Sibiu, Romania
Lia-Cornelia Culda: Lucian Blaga University of Sibiu, Romania
Raluca Andreea Nerișanu: Lucian Blaga University of Sibiu, Romania

HR and Technologies, 2023, issue 2, 6-23

Abstract: In today's business world, it's more important than ever to understand how employees feel. This study delves into the efficacy of open-source tools for sentiment analysis of employee feedback. We devised a Python-based solution, employing BERT and VADER libraries to process and analyze textual data. Our research reveals significant disparities in the sentiment polarity results obtained from these tools, with BERT showing a positivity bias and VADER offering a more balanced sentiment distribution. These findings highlight the importance of selecting appropriate tools for sentiment analysis tasks, tailored to the specific nature of the text. Overall, our study demonstrates the viability and importance of open-source tools in sentiment analysis, particularly in enhancing continuous feedback mechanisms within organizational contexts.

Keywords: HR analytics; Python; sentiment analysis; BERT; VADER (search for similar items in EconPapers)
JEL-codes: C63 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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