Customer reviews function as essential foundation for digital purchasing decisions particularly when consumers seek electronic products. The research explores the utilization of sentiment analysis as a valuable method to obtain practical insights from product ratings focusing on Samsung Galaxy Buds Pro wearable audio devices. A methodology based on Natural Language Processing (NLP) and statistical methods examines two main research aspects through evaluation of the sentiment score relationships between different geographical areas (India, USA, and UK) and their quantitative product ratings. A one-way ANOVA serves to evaluate regional variations of sentiment while Pearson’s correlation tests the link between sentiment values and rating scores. The analysis showed no significant variations in overall sentiment evaluation between India and USA and UK within the survey database yet some regional trends can be observed through pattern analysis. The data establishes a reliable connection between sentiment analysis results and product ratings due to their strong positive statistical association (r = 0.72). This study strengthens existing research by examining the understudied relationship between distinct cultural sentiments and product evaluation correlations throughout electronic review content which benefits business decision-making alongside academic work in consumer behavior research.