A Recommendation System Based on Text Mining

摘要：

　　With the improvement of social consumption level and the rapid development of the Internet,the application of recommendation system is becoming more and more extensive.Du to the complexity of Chinese language,the traditional recommendation system cannot grasp the users sentiment tendencies well.In this paper,we establish a recommendation system with text mining technology.The proposed system uses the improved logistic regression in sentiment analysis to get users sentiment score.Moreover,we build an item-feature matrix to calculate the feature similarity of the items,enhanceing the accuracy of item similarity.The experimental results demonstrate the effectiveness of our proposed system.

关键词： recommendation system text mining sentiment analysis logistic regression natural language processing

作者: Dongchen Miao Fei Lang

作者单位: College of Automation Nanjing University of Posts and Telecommunications Nanjing,China College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommun

会议类型: 国际会议

会议名称: 第九届网络分布式计算与知识发现国际会议( 2017 International Conference on Cyber-enabled distributed computing and knowledge discovery)

会议地点: 南京

会议语种:英文

页码: 318-321

在线出版日期: 2017-10-12（万方平台首次上网日期，不代表论文的发表时间）