A retail analytics team is preparing a dataset of product reviews for a sentiment classification model. The dataset contains 50,000 reviews, but only 2,000 are labeled as positive or negative. The team wants to use the unlabeled reviews to improve model performance. Which approach best leverages the unlabeled data?