检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:李超 向静 向军 LI Chao;XIANG Jing;XIANG Jun(Information Engineering College,Hubei University for Nationalities,Enshi Hubei 445000,China)
机构地区:[1]湖北民族学院信息工程学院,湖北恩施445000
出 处:《计算机应用》2019年第1期181-185,共5页journal of Computer Applications
基 金:国家自然科学基金资助项目(61040006);湖北省自然科学基金资助项目(2018CFB451);湖北省教育厅项目(B2014245);湖北民族学院博士基金资助项目(MY2017B019)~~
摘 要:针对现有商品评论存在数量大、质量参差不齐、可信度差,导致用户难以快速获取有效信息并制定高效的决策,而现有评论可信性评估主要考虑评论来源和投票形式的支持度等问题,提出了一种从评论内在质量角度实现评论可信度评估方法,即通过融合评论者等级、评论支持度和评论观点一致性等实现评论可信性评估。首先基于规则库和方法库完成了评论数据的预处理;然后基于商品特征库、通用词典、情感词典以及方法库,完成了商品特征识别和特征值提取及标准化;最后基于建立的模型完成评论可信度评估。实验结果验证了该方法的可行性,该方法可以应用于其他电商平台实现商品评论可信性自动评估。Since there are many troubles such as large quantity, uneven quality and poor credibility in getting helpful information and making effective decision for stakeholders, and the existing research work on credibility assessment mainly considers the sources of reviews and the support of reviews in form of votes, an assessment method on review credibility from perspective of intrinsic quality was proposed. That is, the credibility assessment of reviews was realized by integrating the ratings of reviewers, the support degree of reviews and the consistency in reviews, etc. Firstly, the pre-processing of review data was completed based on rule and method libraries. Then, the feature recognition and the feature value extraction and standardization were completed based on product feature library, generic dictionary, sentiment dictionary and method library.Finally, the credibility assessment of reviews was completed based on the established models. The experimental results verify the feasibility of this method, and it can be applied to assess the credibility of product reviews automatically on other e-commerce platforms.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.117