Restrepo Felipe, Mali Namrata, Sands Laura P, Abrahams Alan, Goldberg David M, White Janay, Prieto Laura, Ractham Peter, Gruss Richard, Zaman Nohel, Ehsani Johnathon P
Department of Industrial and Systems Engineering, Virginia Tech, 250 Durham Hall (MC 0118) 1145 Perry Street, Blacksburg, VA 24061, USA.
Department of Computer Science, Virginia Tech, 2202 Kraft Dr SW, Blacksburg, VA 24060, USA.
Data Brief. 2022 Mar 15;42:108044. doi: 10.1016/j.dib.2022.108044. eCollection 2022 Jun.
Older adults are among the fastest-growing demographic groups in the United States, increasing by over a third this past decade. Consequently, the older adult consumer product market has quickly become a multi-billion-dollar industry in which millions of products are sold every year. However, the rapidly growing market raises the potential for an increasing number of product safety concerns and consumer product-related injuries among older adults. Recent manufacturer and consumer injury prevention efforts have begun to turn towards online reviews, as these provide valuable information from which actionable, timely intelligence can be derived and used to detect safety concerns and prevent injury. The presented dataset contains 1966 curated online product reviews from consumers, equally distributed between safety concerns and non-concerns, pertaining to product categories typically intended for older adults. Identified safety concerns were manually sub-coded across thirteen dimensions designed to capture relevant aspects of the consumer's experience with the purchased product, facilitate the safety concern identification and sub-classification process, and serve as a gold-standard, balanced dataset for text classifier learning.
老年人是美国人口增长最快的群体之一,在过去十年中增长了三分之一以上。因此,老年消费品市场迅速成为一个价值数十亿美元的产业,每年有数百万种产品售出。然而,快速增长的市场增加了老年人对产品安全问题和与消费品相关伤害的潜在担忧。最近,制造商和消费者伤害预防工作开始转向在线评论,因为这些评论提供了有价值的信息,从中可以得出可采取行动的及时情报,并用于检测安全问题和预防伤害。所呈现的数据集包含1966条经过整理的消费者在线产品评论,在安全问题和非安全问题之间平均分配,涉及通常面向老年人的产品类别。识别出的安全问题在13个维度上进行了手动子编码,旨在捕捉消费者购买产品体验的相关方面,促进安全问题的识别和子分类过程,并作为文本分类器学习的黄金标准平衡数据集。