Decoding Sentiment in Online Communication: A Social Media Analysis of Fashion Companies

Karolina Mania (), Monika Jedynak (), Aneta Kuzniarska () and Karolina Woszczyna ()
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Karolina Mania: Institute of Economics, Finance and Management, Faculty of Management and Social Communication, Jagiellonian University, Poland Faridabad, India
Monika Jedynak: Institute of Economics, Finance and Management, Faculty of Management and Social Communication, Jagiellonian University, Poland
Aneta Kuzniarska: Institute of Economics, Finance and Management, Faculty of Management and Social Communication, Jagiellonian University, Poland
Karolina Woszczyna: Institute of Economics, Finance and Management, Faculty of Management and Social Communication, Jagiellonian University, Poland

European Management Studies, 2024, vol. 22, issue 105, 4-21

Abstract: Purpose: The aim of this article was to identify differences in the emotional tone of verbal messages published on the Facebook accounts of selected companies within the fashion industry, focusing on organizations with an active presence on this platform. Design/methodology/approach: The sentiment analysis was conducted using the CLARIN software suite. Over a three-month period in 2023, companies’ posts and users’ comments were collected and analyzed. Sentiments were categorized into six groups: ambiguous statements, strong and weak negative statements, strong and weak positive statements, and neutral statements. Analysis was performed at sentence, document, and aspect levels, employing both lexicon-based methods and machine learning. Findings: The results showed a preponderance of strong positive sentiment among the messages seen on the social media channels of the companies analyzed. Research limitations/implications: The study was limited to a three-month data collection period and focused exclusively on organizations within the fashion industry with an active Facebook presence, which may limit the generalizability of the findings to other industries or platforms. Originality/value: This study contributes to the understanding of how corporate communication on social media impacts its users, offering insights specifically into sentiment dynamics within the fashion industry.

Keywords: social media; communication; sentiment analysis; Facebook (search for similar items in EconPapers)
JEL-codes: D83 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:sgm:emswzu:v:22:i:105:y:2024:p:4-21

DOI: 10.7172/1644-9584.105.1

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