In sharp market competition, it is very important for enterprises to maintain high product competitiveness. The rich data on social network sites and e-commerce platforms provide a novel way to research product competitiveness. Some studies have mined product competitiveness from online reviews, which may be biased, since some fake information may be contained in online reviews, and the information of product competitiveness from the online reviews is limited as well. This paper, thus, proposes a method that integrates multisource online information to analyze product competitiveness, which can correct the deviation of product competitiveness from a single source of online reviews. In addition, this method is based on mutual information and quantile regression models and further explores what the key competitiveness is and how the factors affect product competitiveness at different competitiveness levels. This paper provides a novel decision-making tool to analyze the competitiveness of products such as mobile phones

在激烈的市场竞争中，企业保持较高的产品竞争力非常重要。社交网站和电子商务平台上的丰富数据为研究产品竞争力提供了一种新颖的方法。一些研究从在线评论中挖掘了产品竞争力，这可能会产生偏差，因为在线评论中可能包含一些虚假信息，并且在线评论中的产品竞争力信息也受到限制。因此，本文提出了一种整合多源在线信息以分析产品竞争力的方法，该方法可以纠正来自单一在线评论源的产品竞争力偏差。此外，该方法基于互信息和分位数回归模型，并进一步探讨了关键竞争力是什么，以及在不同竞争力水平下因素如何影响产品竞争力。本文提供了一种新颖的决策工具来分析手机等产品的竞争力