A Sentiment Analysis of Online Reviews Based on the Word Alignment Model: A Product Improvement Perspective

摘要

Online reviews have become the main way for customers to publish their product usage perception. How to extract valuable real-time information from online comments and make business decision with more intelligence is the main task of big data business. In this study, we put forward a word alignment model to analyze the customer's emotional response to product attributes in online comments, from the perspective of product designers. Then, the KANO method is applied to analyze online comments and develop appropriate product improvement strategies. Our research shows that the combination of online reviews and classic management patterns can bring success to big data businesses.