With the rapid development of the Internet and new media, the enormous data from social
media and other public platforms have attracted increasing attention to user behavior …

Since trading has been transformed into online platforms, marketing strategies have
adapted to digital systems in order to enhance the Customer Relationship Management …

Nowadays, social data analysis is widely used in different businesses. Machine learning has
proved its effectiveness in big data analysis for customers' segmentation and decision …

Aiming at the problem of data sparsity, cold start, and privacy concerns in complex
information recommendation systems, such as personalized marketing on Alibaba or TikTok …

This research looks in detail at the dynamics of pink marketing and its effect on the purchase
behavior of Saudi women through mobile applications, with an emphasis on Artificial …

In e-commerce, online reviews play a vital role in understanding customer requirements.
Companies can perform analysis of these reviews to make right business decisions …

This research paper covers the sentiment analysis of fashion e-commerce products by
comparing their reviews (electronic word-of-mouth), and ratings using the ML model and …

Online reviews of games are an important reference for social media users to make
purchasing or downloading decisions. Such kind of electronic word-of-mouth (eWOM) …

The eWOM manages to be a source of information for current and potential customers, as it
plays a significant and transcendental role in the purchase intention. The objective of this …

本研究旨在通过文本挖掘方法研究消费者的需求和偏好. 通过收集和预处理天猫商城的服装商品
的在线评论数据, 应用BERT-LDA 模型进行分析, 发现消费者在购物体验, 服装特性和服装品质 …