一种考虑文本UGC情感特征的消费者行为预测模型

A Consumer Behavior Prediction Model on Emotional Feature of Text UGC

针对UGC情感因素对电子商务平台消费者决策行为的影响问题,以文本类型UGC为研究对象,通过贝叶斯网络构建消费者决策预测模型,并利用美团酒店(蚌埠地区)在线评论数据分析文本UGC的内容和情感特征对预测模型准确度的影响.研究发现在文本UGC内容特征基础上考虑情感特征对预测模型的准确度有正向影响,但随着样本量的增加,正向影响逐渐减弱.

Aiming at the influence of UGC on the consumer decision-making behavior of e-commerce platform,this paper takes the text UGC as the research object,builds a consumer decision-making prediction model through Bayesian network,and analyzes the influence of the content and emotional characteristics of text UGC on the accuracy of prediction model by using Meituan hotel(Bengbu)online review data.The research found that considering emotional features on the basis of text UGC content features had a positive influence on the accuracy of prediction model,but with the increase of sample size,the positive influence gradually weakened.