More than one million negative reviews from a Chinese e-commerce platform

The dataset is from a B2C e-commerce platform in China, with massive product negative reviews of four representative sectors including Computers, Phone&amp;Accessories, Gifts&amp;Flowers and Clothing.Here the negative reviews are defined as the reviews with scores 1. After the raw data was collected, deduplication, user anonymization &amp; categorization and text classification was employed to process the raw data. The data contains fields of id for comment, anonymous id for user, review text, timestamp of the posting, negative reason label and user level.<br> <br> The dataset contains four JSON files, with each file titled by the corresponding sector name.In each JSON file, each line represents a record of a negative review from this sector, in which the filed ‘id’ is the unique code we created for reviews, the filed ‘userID’ is the unique code we created for users, the field ‘userLevel’ is the user’s level in the platform, the field ‘creationTime’ is the timestamp a review was posted, the filed ‘content’ is the review text in Chinese and the field ‘label’ represent why the consumers post the negative reviews, in which 0 for Logistic, 1 for Product function, 2 for Consumer Service and 3 for False Marketing. <br> The dataset comes from our paper: <br> Sun M, Zhao J. Behavioral Patterns beyond Posting Negative Reviews Online: An Empirical View. <em>Journal of Theoretical and Applied Electronic Commerce Research</em>. 2022; 17(3):949-983. https://doi.org/10.3390/jtaer17030049 <br> If it is helpful, please cite the paper. <br> This work was supported by NSFC (Grant No. 71871006).

本数据集来源于中国某B2C电子商务平台，涵盖计算机、手机及配件、礼品鲜花、服饰四大代表性品类的海量商品负面评论。此处负面评论定义为评分1星的评论。原始数据采集完成后，先后经过去重、用户匿名化、品类分类及文本分类流程进行处理。数据集包含评论ID、用户匿名ID、评论文本、发布时间戳、负面原因标签以及用户等级等字段。

本数据集包含四个JSON文件，文件名分别对应上述四大品类。每个JSON文件中，每一行代表该品类下的一条负面评论记录：其中字段‘id’为我们为评论创建的唯一编码，‘userID’为我们为用户创建的唯一编码，‘userLevel’为该用户在平台的等级，‘creationTime’为评论发布的时间戳，‘content’为中文评论文本，‘label’则代表消费者给出负面评价的原因：0对应物流问题，1对应产品功能问题，2对应客服问题，3对应虚假营销。

本数据集源自以下学术论文：
孙明，赵静。在线发布负面评论之外的行为模式：一项实证研究。《理论与应用电子商务研究期刊》(Journal of Theoretical and Applied Electronic Commerce Research)。2022; 17(3):949-983. https://doi.org/10.3390/jtaer17030049
如本数据集对你的研究有所帮助，请引用该论文。

本研究得到国家自然科学基金（项目编号：71871006）资助。