Technostress Effects on Indonesian e-Wallet Users: A Case Study with LDA Modeling and Sentiment Analysis

This research explores the negative impact of technostress on Indonesian e-wallet users, utilizing sentiment classification and Latent Dirichlet Allocation (LDA) modeling. Previous studies have indicated technostress triggers negative sentiments. This study confirms similar effects in e-wallet usage, employing sentiment analysis and LDA modeling. Analyzing sentiment data from user reviews validates the findings that technostress generates negative sentiments among Indonesian e-wallet users. Sentiment classification analysis shows a clear link between technostress experiences and negative sentiments in user reviews. The LDA model identifies the most frequent complaints. This study underscores e-Wallet’s technostress-induced negative sentiments, primarily concerning service features, accessibility, service, and security, crucial for fintech providers to enhance user experience.