🏬🛍️😀 Consumer Sentiments and Ratings

Dataset Overview This dataset contains customer reviews for various products, including details about product categories, brands, user ratings, and sentiment analysis. The dataset can be used for sentiment classification, recommendation systems, and consumer behavior analysis.

Columns Description Column Name Description item_category The category ID of the product being reviewed. item_id The unique identifier of the specific product. brand The brand ID associated with the product. user_id The unique identifier of the customer who left the review. date The date when the review was posted (YYYY-MM-DD). comment The textual content of the review provided by the user. rating The numerical rating given by the user (e.g., on a scale of 1 to 5). tonality The sentiment classification of the review (e.g., positive, negative).

Use Cases Sentiment analysis on product reviews. Identifying trends in customer satisfaction. Product recommendation systems. Understanding consumer preferences based on brand and category.

Original Data Source: 🏬🛍️😀 Consumer Sentiments and Ratings