工业工程2024，Vol.27Issue(2)：74-86,13.DOI:10.3969/j.issn.1007-7375.230227
情感分析与数据驱动下面向产品迭代设计的用户画像及建模研究
User Profiles and Modeling for Iterative Product Designing with Sentiment Analysis and Data-driven Approaches
摘要
Abstract
To address the issues of time-consuming and laborious,as well as low efficiency of traditional product designing,user profiles and a modeling method for iterative product designing is proposed.The proposed method can effectively capture use attitudes towards product features,providing a new baseline for enterprises to conduct product iteration.First,the user information attributes and online user comments are obtained by web crawler technology.A conceptual model of three-dimensional user profiles is established by integrating product information attributes.Based on product features,a profile model is developed using Word2vec technology and sentiment analysis from two dimensions:user attention and quality satisfaction.Then,by analyzing the overall user profile with the fine-grained feature profile of products,a product optimization strategy is determined using the K-value method,emphasizing both core advantageous features and features for optimization.Finally,a case study is conducted using a certain camera as an example to analyze data-driven iterative product designing.Results show that the proposed method can effectively explore the core demand of users and provide enhanced product design solutions for enterprises to expedite product iterations.关键词
在线评论/用户画像/产品迭代/数据驱动/情感分析Key words
online comment/user profiles/product iteration/data-driven/sentiment analysis分类
管理科学引用本文复制引用
周艳杰,李耀辉,王宇,王永胜..情感分析与数据驱动下面向产品迭代设计的用户画像及建模研究[J].工业工程,2024,27(2):74-86,13.基金项目
国家自然科学基金资助项目(72201252,72101240) （72201252,72101240）
郑州烟草研究院青年人才托举工程项目(602020CR0360) （602020CR0360）
