A Survey of Fine-grained Text Emotion Analysis of Online Customer Reviews

摘要：

　　This paper from a perspective of fine-grained sentiment,aims to survey about the abstraction of product attributes and emotional vocabulary,the sentiment analysis at chapter and sentence levels,the building of corpus and sentiment lexicon and the machine learning.Then we point out that the efforts to build corpus and sentiment lexicon in China is already under way.However,experts” participation in building basic corpus for products of different industries is still needed,considering the great varieties of products and the underperformed portability of core attributes.The achievements of NLP algorithm should be widely used in the fine-grained sentiment analysis and the algorithm”s portability should be greatly improved.The fine-grained sentiment analysis on online customers” reviews should take marketing research topics as its core,and expand and innovate the marketing theories so as to avoid blind pursuing of the accuracy and complexity of algorithm.

关键词： Fine-grained Sentiment analysis Corpus Product attributes abstraction Sentiment lexicon

作者: Zou Fang Bai Lifei Peng Wei Chen Daifen

作者单位: Sichuan Agricultural University,288 Jianshe Lane Dujiangyan,Sichuan China

会议类型: 国内会议

会议名称: China Marketing International Conference 2017 (2017中国市场营销国际学术年会)

会议地点: 北京

会议语种:英文

页码: 67-77

在线出版日期: 2017-07-14（万方平台首次上网日期，不代表论文的发表时间）