摘要
智慧旅游是推动智慧城市发展的重要手段。随着网络评论在旅游生态中的地位显著提升,如何通过网评文本反映游客的消费体验、服务质量反馈与情感诉求,吸引游客消费、取得竞争优势,成为景区管理人员与主管部门的一项重要工作。基于文本挖掘和情感分析方法,选取景区和酒店网评文本,识别旅游景点现状的问题和痛点,设计科学、客观的综合评价体系,为景区与酒店等相关经营者、文旅部门做出更优决策提供理论支撑和数据支持。
Smart tourism is an important means to promote the development of the smart city.With the significant promotion of online comments in the tourism ecology,how to reflect tourists'consumption experience,service quality feedback and emotional demands through online comments text,so as to attract tourists'consumption and gain competitive advantages,has become an important task for scenic spot managers and competent departments.Based on text mining and sentiment analysis methods,the online comments text of scenic spots and hotels are selected to identify the problems and pain points of the current situation of tourist attractions,and a scientific and objective comprehensive evaluation system is designed to provide theoretical and data support for the scenic spots,hotels and other related operators and cultural tourism departments to make better decisions.
作者
郭佳怡
方博平
陆欣怡
王妮
宋涛
GUO Jiayi;FANG Boping;LU Xinyi;WANG Ni;SONG Tao(School of Science,Huzhou University,Huzhou 313000,China;Huzhou Key Laboratory of Data Modeling and Analysis,Huzhou 313000,China)
出处
《现代信息科技》
2023年第6期1-5,12,共6页
Modern Information Technology
基金
浙江省自然科学基金(Z22A013952)
浙江省教育厅科研项目资助(Y202248528)
浙江省大学生科技创新活动计划项目新苗人才计划(2022R431A016)
湖州师范学院大学生创新创业训练科研项目(202101172)。
