计算机科学 ›› 2017, Vol. 44 ›› Issue (11): 181-186.doi: 10.11896/j.issn.1002-137X.2017.11.027
冉猛,姜瑛
RAN Meng and JIANG Ying
摘要： 面对海量的APP软件,不同用户对其评论的侧重点、表达方式以及情感倾向程度等都不相同,这给APP软件的用户行为分析和质量评价带来了困难。提出一种APP软件用户评论模式分析方法,首先综合分析用户评论信息与APP软件信息之间的关系,根据用户对APP软件的评论特征将用户评论信息进行分类；接着分析每类用户评论信息的词性组合；然后计算用户评论信息的情感倾向程度,以分析出该APP软件用户的评论模式；最后通过实验验证了该方法的有效性。
| [1] JIANG H,MA H,REN Z,et al.What makes a good app description?[C]∥Proceedings of the 6th Asia-Pacific Symposium on Internetware on Internetware.ACM,2014:45-53. [2] MA S,WANG S,LO D,et al.Active Semi-Supervised Approach for Checking App Behavior Against Its Description[C]∥2015 IEEE 39th Annual Computer Software and Applications Confe-rence (COMPSAC).IEEE,2015:179-184. [3] LI M,WANG X C,ZHANG J,et al.Study on Check-in and Related Behaviors of Location-based Social Network Users [J].Computer Science,2013,40(10):72-76.(in Chinese) 李敏,王晓聪,张军,等.基于位置的社交网络用户签到及相关行为研究[J].计算机科学,2013,40(10):72-76. [4] WANG W,WANG H W,MENG Y.The collaborative filtering recommendation based on sentiment analysis of online reviews [J].Systems Engineering-Theory & Practice,2014,34(12):3238-3249.(in Chinese) 王伟,王洪伟,孟园.协同过滤推荐算法研究:考虑在线评论情感倾向[J].系统工程理论与实践,2014,34(12):3238-3249. [5] ZHANG L,QIAN G Q,FAN W G,et al.Sentiment AnalysisBased on Light Reviews [J].Journal of Software,2014,25(12):2790-2807.(in Chinese) 张林,钱冠群,樊卫国,等.轻型评论的情感分析研究[J].软件学报,2014,25(12):2790-2807. [6] LIU Y,LIAO X W,LIU Y.The impact of online review on software and platform’s pricing strategies [J].Journal of Systems Engineering,2014,29(4):560-570.(in Chinese) 刘洋,廖貅武,刘莹.在线评论对应用软件及平台定价策略的影响[J].系统工程学报,2014,29(4):560-570. [7] PAGANO D,MAALEJ W.User feedback in the appstore:An empirical study[C]∥International Conference on Requirements Engineering.2013:125-134. [8] GUZMAN E,MAALEJ W.How do users like this feature? afine grained sentiment analysis of app reviews[C]∥2014 IEEE 22nd International Requirements Engineering Conference (RE).IEEE,2014:153-162. [9] ANAM A S M I,YEASIN M.Accessibility in smartphone applications:what do we learn from reviews?[C]∥Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility.ACM,2013:35. [10] KHALID H.On identifying user complaints of iOS apps[C]∥International Conference on Software Engineering.2013:1474-1476. [11] HU Z K,ZHENG X L,WU Y F,et al.Product recommendation algorithm based on users’ reviews mining [J].Journal of Zhejiang University (Engineering Science),2013,47(8):1475-1485.(in Chinese) 扈中凯,郑小林,吴亚峰,等.基于用户评论挖掘的产品推荐算法[J].浙江大学学报(工学版),2013,47(8):1475-1485. [12] LEVENSHTEIN V I.Binary codes capable of correcting dele-tions,insertions,and reversals[J].Soviet Physics Doklady,1966,10(8):707-710. [13] LI X N,ZHANG S W,YANG L,et al.ARES:Autoregressive Emotion-Sensitive Model for Predicting Sales Performance [J].Journal of Computer Research and Development,2013,50(8):1722-1727.(in Chinese) 李雪妮,张绍武,杨亮,等.ARES:用于预测的情感感知自回归模型[J].计算机研究与发展,2013,50(8):1722-1727. [14] LIN Q H.Design and Implementation of the Product Reviews Analysis System Based on Affective Computing [D].Shanghai:Fudan University,2013.(in Chinese) 林钦和.基于情感计算的商品评价分析系统设计与实现[D].上海:复旦大学,2013. [15] RAN M,JIANG Y,XIANG Q,et al.Method of ConsistencyJudgment for App Software’s User Comments[C]∥International Conference of Young Computer Scientists,Engineers and Educators.Springer Singapore,2016:470-483. |
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