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OACHSSCDCSTPCD

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.