User-generated content (UGC) based on customer opinions and experiences has increasingly become a rich resource of business opportunities. This study proposes a change mining framework to address the key shortcomings of the traditional SWOT analysis, including subjectivity in defining factors, lack of empirical validation, inflexible to meet the changing environment, and lack of actionable steps. Product reviews were collected for several brands from Amazon.com. Consumer sentiment was calculated to build an aspect-based opinion database, followed by the application of change mining to the opinion database for different generations of products. Factors were then extracted for the four key categories of SWOT. Our approach not only answers the four key shortcomings of traditional SWOT analysis, but also offers additional opportunities, such as the ability to monitor trends, and flexibility to frame SWOT factors based on desired time periods. Further managerial insights are provided.

基于客户意见和经验的用户生成的内容（UGC）越来越成为商业机会的丰富资源。这项研究提出了一个变更挖掘框架，以解决传统SWOT分析的关键缺点，包括确定因素的主观性，缺乏经验验证，对变化的环境缺乏灵活性以及缺乏可操作的步骤。从Amazon.com收集了多个品牌的产品评论。计算消费者情绪以建立基于方面的意见数据库，然后将变化挖掘应用于不同代产品的意见数据库。然后提取SWOT四个关键类别的因素。我们的方法不仅解决了传统SWOT分析的四个关键缺陷，而且还提供了其他机会，例如监视趋势的能力以及根据所需时间段灵活地设置SWOT因素的能力。提供了进一步的管理见解。