利用在线评论挖掘用户饮食偏好——以北京地区为例

发布时间：2018-05-12 21:52

本文选题：情感分析 + 在线评论　；参考：《图书馆论坛》2017年03期

【摘要】：我国饮食文化博大精深,菜系各具特色,人们对菜系的偏好存在差异。通过丰富的在线评论数据挖掘菜系偏好,不仅能够揭示人们饮食习惯的差异性,而且能够揭示各菜系的传播与发展情况。文章以美团网作为研究平台,以北京地区的在线餐馆评论作为研究对象,对菜肴及其相关属性进行频次统计、情感倾向计算,得到各菜系及其属性的关注度与满意度,以此反映用户的菜系偏好及各菜系的传播发展情况。研究表明:从文本情感分析的角度,利用在线评论数据,能在一定程度上揭示各地区用户对不同菜系的偏好以及不同菜系在各地区的传播发展情况。
[Abstract]:Chinese food culture is extensive and profound, the cuisine has its own characteristics, people's preference for the cuisine is different. Through the abundant online review data mining, not only can reveal the difference of people's eating habits, but also can reveal the spread and development of each kind of cuisine. Taking Meituan net as the research platform and online restaurant review in Beijing as the research object, this paper calculates the frequency of dishes and their related attributes, calculates the emotional tendency, and obtains the attention and satisfaction of each dish and its attributes. This reflects the preferences of the users and the spread of the development of the cuisine. The results show that from the perspective of text emotion analysis, the online review data can reveal to a certain extent the users' preferences for different dishes in different regions and the spread and development of different dishes in different regions.
【作者单位】：南京理工大学经济管理学院信息管理系;
【基金】：国家社会科学基金项目“在线社交网络中基于用户的知识组织模式研究”(项目编号:14BTQ033);国家社会科学基金重大项目“面向知识创新服务的数据科学理论与方法研究”(项目编号:16ZDA224)研究成果
【分类号】：TS971;TP391.1

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