Sentiment Analysis of Air Conditioning Users’ Comments on e-Commerce Platform Based on NLP Technology

Abstract

With the rapid development of e-commerce, more and more users shop online through e-commerce platforms and leave a large number of user comments which are valuable for enterprises development. Based on the air conditioning users’ comments from JD and other e-commerce platforms, this paper uses Python to conduct data mining, preprocessing of data text and emotional tendency analysis. Finally, the word cloud map method is used to analyze the advantages and disadvantages of Gree and Midea air conditioners in the products and services of e-commerce platforms, and corresponding suggestions for enterprises are promoted.