Method of Relevance Judgment for App Software’s User Reviews

• 作者: Jiaman Ding Meng Ran Qixin Xiang Ying Jiang
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 教育
• 关键词: APP software User REVIEWS RELEVANCE JUDGMENT NAIVE Bayesian text classification TERM frequency
• 年，卷（期）: 2017,（2）
• 页码范围: 6-8
• 页数: 3页
• 分类号: G482

摘要

In order to judge whether the user reviews are relevant to App software, this paper proposed a method to judge the relevance of user reviews based on Naive Bayesian text classification and term frequency.Firstly, the keywords sets of App software’s user reviews are extracted. Then, the keywords sets are optimized. Finally, the relevance score of the user reviews are calculated, and whether the user reviews are relevant is judged. Through the experiment, this method is proved that can judge the relevance of App software’s user reviews effectively.