Modelling taxpayers’ behaviour based on prediction of trust using sentiment analysis

Ioana-Florina Coita, Belbe, Stefana (Ștefana), Mare, Codruta (Codruța), Joerg Osterrieder and Christian Hopp

Finance Research Letters, 2023, vol. 58, issue PC

Abstract: Fiscal systems depend on taxpayer's behaviour in terms of their willingness to comply or engage in fraud, deeply rooted in trustworthiness. To gain insights into taxpayers' perceptions and their influence on trust within taxation system, we use survey data to analyse word frequencies, sentiments, attitudes. Our approach utilizes natural language processing in conjunction with machine learning techniques. We highlight a notable correlation: taxpayers who lack trust in fiscal system tend to employ a higher frequency of negative words and exhibit limited word diversity in their expressions. The presence of negative sentiments may potentially foster fraudulent behaviours in the future.

Keywords: Taxpayers’ behaviour; Theory of planned behaviour (TPB); Sentiment analysis; Behavioural modelling (search for similar items in EconPapers)
JEL-codes: C45 C53 G41 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:58:y:2023:i:pc:s1544612323009212

DOI: 10.1016/j.frl.2023.104549

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