Sentiment topic mining based on comment tags

2017 International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Zhang, Daohai^1 ; Liu, Xue^1 ; Li, Juan^1 ; Fan, Mingyue^1

School of Management, Jiangsu University, Zhenjiang, China^1

关键词: Business management;    Cost performance;    Data preprocessing;    Independent research;    Product design and development;    Sentiment classification;    Speed performance;    User experience;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/322/5/052048/pdf
DOI  :  10.1088/1757-899X/322/5/052048

学科分类：材料科学（综合）

来源: IOP

【 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.