Online consumer reviews consist of product ratings and product reviews, which are becoming increasingly powerful in supporting potential customers in making well-informed purchasing decisions. Online reviews are very important for potential customers because they help them make better informed and rational purchase decisions. The objective of this study is to examine the consistency between customer reviews and ratings. Our research methodically examined the consistency between product ratings and consumer reviews for headset purchases by employing a TextClassifier model. Confusion matrix, chi-square tests, and Cohen’s Kappa test were used in conducting the statistical analysis that was aimed at determining the association between these two aspects. The results conclusively indicate a notable consistency between reviews and ratings.