Sentiment topic mining based on comment tags

摘要：

　　With the development of e-commerce,various comments based on tags are generated,how to extract valuable information from these comment tags has become an important content of business management decisions.This study takes HUAWEI mobile phone tags as an example using the sentiment analysis and topic LDA mining method.The first step is data preprocessing and classification of comment tag topic mining.And then make the sentiment classification for comment tags.Finally,mine the comments again and analyze the emotional theme distribution under different sentiment classification.The results show that HUAWEI mobile phone has a good user experience in terms of fluency,cost performance,appearance,etc.Meanwhile,it should pay more attention to independent research and development,product design and development.In addition,battery and speed performance should be enhanced.

作者: Daohai Zhang Xue Liu Juan Li Mingyue Fan

作者单位: School of Management,Jiangsu University,Zhenjiang,China

会议类型: 国际会议

会议名称: 2017 International Symposium on Application of Materials Science and Energy Materials (SAMSE 2017) (2017材料科学应用与能源材料国际研讨会)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2017-12-28（万方平台首次上网日期，不代表论文的发表时间）