171k product review with Sentiment Dataset

The dataset contains product reviews along with corresponding prices, names, review, summary and sentiment labels. The sentiment labels indicate whether the review expresses a positive, negative, or neutral sentiment towards the product. Based on the provided dataset, a possible application could be sentiment analysis of product reviews. This could involve using machine learning algorithms to automatically classify reviews as positive, negative, or neutral based on the textual content of the review and associated metadata such as the product name and price. Such a system could be used by businesses to track customer sentiment towards their products and identify areas for improvement. It could also be used by consumers to make more informed purchasing decisions based on the experiences of others.

CC0

Original Data Source: 171k product review with Sentiment Dataset