M Cups Reviews

This data is collected from consumers of Menstrual cups and consists of 3356 elements with 6 features, namely Brand, Name, Star-rating, Date, Review Title, and Review Content. By employing text mining and sentiment analysis with polarity scores on this dataset, the paper contributes to Computing Research by extracting valuable insights into consumers' sentiments and preferences regarding menstrual cups. These computational techniques enhance the development of user-centric and effective menstrual cup designs, tailored to meet the diverse needs and preferences of users.