基于评论情感分析的用户评分修正方法  

Approach to User Rating Correction Based on Emotional Analysis of Comments

作　　者：孙礼辉[1] Sun Lihui(Department of Economy and Trade,Anhui Business College,Wuhu,Anhui 241002,China)

机构地区：[1]安徽商贸职业技术学院经济贸易系,安徽芜湖241002

出　　处：《大理大学学报》2020年第6期14-17,共4页Journal of Dali University

基　　金：安徽省高校自然科学研究项目(KJ2017A590);安徽省高等学校省级质量工程项目(2017sjjd068);安徽商贸职业技术学院校级科研项目(2018ZDF10)。

摘　　要：针对当前电商网站评分存在分布过于集中、可信度不高等问题,提出基于评论内容的情感分析,即通过提取评论内容的特征词和情感词,建立评论特征向量并计算评论情感倾向,在此基础上对原始评分进行修正,得出更能体现用户真实想法的评分,以提高推荐系统的推荐精度。In order to solve over-centralized distribution,low credibility and other problems in the rating of e-commerce websites,this paper proposed an emotional analysis based on the content of comments.Namely,feature words and emotional words were extracted to establish the feature vector of the comments and calculate the emotional tendency.On this basis,the original ratings were corrected to obtain the rating better reflecting the real thoughts of users so as to improve the recommendation accuracy of the recommendation system.

关 键 词：评论 情感分析 用户评分 修正 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]