旅游评论文本分析  

Text Analysis of Tourism Reviews

作　　者：邵为希 杨坦[1] 蔡志杰[2,3,4] SHAO Weixi;YANG Tan;CAI Zhijie(School of Mathematical Sciences,South China Normal University,Guangzhou,Guangdong 510631,China;School of Mathematical Sciences,Fudan University,Shanghai 200433,China;Shanghai Key Laboratory for Contemporary Applied Mathematics,Shanghai 200433,China;Key Laboratory of Nonlinear Mathematical Models and Methods of Ministry of Education,Shanghai 200433,China)

机构地区：[1]华南师范大学数学科学学院,广东广州510631 [2]复旦大学数学科学学院,上海200433 [3]上海市现代应用数学重点实验室,上海200433 [4]非线性数学模型与方法教育部重点实验室,上海200433

出　　处：《数学建模及其应用》2021年第4期43-54,共12页Mathematical Modeling and Its Applications

摘　　要：景区和酒店的网络评论是游客制定旅游计划和旅游企业了解游客意见并改进服务的重要参考.由于旅游评论数据量大、质量参差不齐,导致游客和企业无法有效获取其中的有价值信息.本文提出旅游评论文本分析的4个任务,包括旅游目的地的游客印象分析、景区和酒店的综合评价、网络评论的有效性分析以及景区和酒店的旅游特色挖掘,并且给出这些任务的求解思路和实现方法.The online comments of scenic spots and hotels are important references for tourists to formulate tourism plans.Due to the large amount and uneven quality of tourism review data,tourists cannot effectively obtain valuable information.In this paper,four problems of text analysis on tourism reviews are presented,including tourist impression analysis of tourism destination,comprehensive evaluation of scenic spots and hotels,effectiveness analysis of network comments,and feature mining of scenic spots and hotels,and the resolving thoughts and implementation methods are given.

关 键 词：旅游评论 热词挖掘 情感分析 文本有效性 旅游特色 

分 类 号：O29[理学—应用数学]