大理大学学报

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基于评论情感分析的用户评分修正方法

  

  1. 安徽商贸职业技术学院经济贸易系,安徽芜湖 241002
  • 收稿日期:2019-12-30 出版日期:2020-06-15 发布日期:2020-06-15
  • 作者简介:孙礼辉,讲师,主要从事电子商务研究。
  • 基金资助:
    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)

Approach to User Rating Correction Based on Emotional Analysis of Comments

  1. (Department of Economy and Trade, Anhui Business College, Wuhu, Anhui 241002, China)
  • Received:2019-12-30 Online:2020-06-15 Published:2020-06-15

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。

关键词: 评论, 情感分析, 用户评分, 修正

Abstract: 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.

Key words: comments, emotional analysis, user rating, correction