摘要
产品论坛主题演化分析对企业的市场营销和产品改进决策具有重要价值.针对产品论坛的特点构建了一个基于潜在狄利克雷分布(latent Dirichlet allocation, LDA)模型的产品在线评论主题演化分析模型,从主题标签、主题热度和主题词热度三个层面挖掘海量在线产品评论的主题演化.实验表明,该方法能够挖掘产品在线论坛的主题演化规律.发现不同论坛上同一产品的消费者关注点存在共性和差异性,关注点热度变化存在随机性,关注中心存在稳定性,以及高评论丰富度的论坛更容易形成主题演化关系等规律.
Topic analysis of online product forums has an important significance to enterprise marketing and product improvement. According to the features of product forums, a topic evolutionary analysis model is constructed for online product forums based on latent Dirichlet allocation(LDA) model. The model is aimed at mining the topic evolution law of massive online product reviews from three levels: topic label, topic heat,and topic word heat. The experiment results show that the proposed method can mine the topic evolution law of online product forums. Further, consumer concerns of the same product in different forums have both commonness and differences. The change in the heat of consumer concerns are random, while the centres of consumer concerns are steady. Forums with rich reviews are easy to form an evolution relationship of topics.
作者
蒋翠清
吕孝忠
段锐
Jiang Cuiqing;Lu Xiaozhong;Duan Rui(School of Managament,Hefei University of Technology,Hefei 230009,China)
出处
《系统工程学报》
CSCD
北大核心
2019年第5期598-609,共12页
Journal of Systems Engineering
基金
国家自然科学基金重点资助项目(71731005)
国家自然科学基金资助项目(71571059)
教育部人文与社会科学项目研究计划资助项目(15YJA630010)