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Dynamic product competitive analysis based on online reviews
Decision Support Systems ( IF 6.7 ) Pub Date : 2024-06-10 , DOI: 10.1016/j.dss.2024.114268
Lu Zheng , Lin Sun , Zhen He , Shuguang He

Competitive intelligence is vital for enterprises to survive in the market. Recently, online reviews have gained popularity among enterprises and researchers as a means to acquire timely and precise competitive insights. However, extant studies overlook the evolution of competitive information because they do not account for the variation of online reviews and products. In this research, we propose a method for dynamic competitive analysis by concentrating on the changes in products and online reviews. First, products and their related online reviews are analyzed via Dynamic Topic Model to derive product features mentioned in different slices. Second, we use sentiment analysis to estimate product performance and transfer the results into a product competitive relation network. Third, we implement competitive analysis from the perspectives of products and markets based on competitiveness propagation. By tracking the evolution of competitive relations among products, we discover competitors and glean more competitive insights. Lastly, a case study of laptops is used for validation. Experimental results indicate that our method is effective in capturing evolving and potential competitive relations among products.

中文翻译:


基于在线评论的动态产品竞争分析



竞争情报对于企业在市场中生存至关重要。近年来,在线评论作为获取及时、准确的竞争洞察的一种手段,受到企业和研究人员的欢迎。然而,现有的研究忽视了竞争信息的演变,因为它们没有考虑在线评论和产品的变化。在这项研究中,我们提出了一种通过关注产品和在线评论的变化进行动态竞争分析的方法。首先,通过动态主题模型分析产品及其相关在线评论,得出不同切片中提到的产品特征。其次,我们使用情感分析来估计产品性能并将结果转移到产品竞争关系网络中。第三,基于竞争力传播,从产品和市场的角度进行竞争分析。通过跟踪产品之间竞争关系的演变,我们发现竞争对手并收集更多竞争洞察。最后,使用笔记本电脑的案例研究进行验证。实验结果表明,我们的方法可以有效地捕捉产品之间不断变化的和潜在的竞争关系。
更新日期:2024-06-10
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