基于文本挖掘的FILIEKEU智能手表在线评论分析

Online Review Analysis of FILIEKEU Smart Watch Based on Text Mining

摘要: 为深入了解当下菲律宾消费者对菲力克品牌智能手表的看法及需求，本文使用文本挖掘对某一家店铺的1153条在线评论内容进行关键词共现网络分析、LDA主题模型分析和情感分析，比较准确地揭示了消费者的购物体验感知与需求。研究表明：产品的功能是影响消费者购后评价的首要因素，其次是产品的质量、性能的综合感知；消费者的不满主要也集中在产品的功能层面，尤以健康监测不准确问题最为突出。此外，研究发现菲律宾消费者的社交意愿强烈，产品常被作为礼品赠予亲友。这一探索性研究为消费者体验提供了新的研究思路，也为智能手表企业的营销实践提供了有价值的参考。

Abstract: In order to deeply understand the current Philippine consumers’ views and needs for FILIEKEU smart watches, this paper uses text mining to conduct keyword co-occurrence network analysis, LDA topic model analysis and sentiment analysis on 1153 online reviews of a store, and accurately reveals consumers’ perception and needs for shopping experience. The research shows that the function of the product is the primary factor affecting the post-purchase evaluation of consumers, followed by the comprehensive perception of the quality and performance of the product; consumer dissatisfaction is mainly concentrated in the functional level of the product, especially the problem of inaccurate health monitoring. In addition, the study found that Philippine consumers have a strong willingness to socialize, and products are often given as gifts to relatives and friends. This exploratory research provides a new research idea for consumer experience, and also provides a valuable reference for the marketing practice of smart watch enterprises.