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.本数据集取自月经杯（Menstrual cup）消费者群体，共包含3356条数据样本与6项特征，分别为品牌（Brand）、产品名称（Name）、星级评分（Star-rating）、评论日期（Date）、评论标题（Review Title）及评论内容（Review Content）。本研究通过对该数据集应用文本挖掘与带极性得分的情感分析技术，从月经杯消费者的情感倾向与使用偏好中提取了极具价值的研究洞察，为计算研究领域贡献了有益的学术成果。此类计算技术可助力优化以用户为中心的高效月经杯设计研发，使其能够适配不同用户的多样化需求与使用偏好。