Influencing Factors Driving Consumers to Publish Online Visual Reviews

EasyChair Preprint no. 1247

Abstract

Online visual reviews (online reviews with pictures or videos) have an important impact on consumers' purchase decisions. However, there is a lack of research on the influencing factors of online visual reviews. In view of this, this paper uses empirical methods to study the factors affecting consumers' online visual reviews from two aspects of information sources and information. The Python crawler collects user comments data from two major domestic e-commerce websites, carries out text processing and text sentiment analysis, and constructs an econometric regression model. The results show that the number of pictures or videos of visual reviews is directly proportional to the membership level of consumers, the depth of reviews, the polarity of reviews and the emotional intensity of reviews.

Keyphrases: 会员等级；, 可视化评论；, 在线评论；, 情感强度；, 评论深度

@Booklet{EasyChair:1247,
  author = {Jiamin Liu and Jiaming Fang},
  title = {Influencing Factors Driving Consumers to Publish Online Visual Reviews},
  howpublished = {EasyChair Preprint no. 1247},

  year = {EasyChair, 2019}}