摘要
如何设计能突出区域特色、带动边缘地区经济、整合周边资源的旅游路线是许多城市迫切需要解决的问题。以普洱市旅游景点作为研究对象,提出一种基于文本聚类的旅游路线设计方法。利用VSM对文本表示,转换成计算机能够识别的格式;利用TF-IDF特征权重挖掘能代表景点特征的词汇;利用LDA对景点主题聚类,获得具有相同特征的景点信息;基于聚类结果,结合景点特色、距离及人文历史等因素,依托旅游核心城市带动边缘城市的理念,设计4条特色旅游路线。结果表明,聚类的平均精确率达77%,可以为具有相同主题特征的景点设计路线。
Designing a tourism route that can highlight regional characteristics to drive the economy of peripheral areas and integrate surrounding resources is an urgent problem that many cities need to solve.Taking the tourist attractions in Pu’er City as the research object,a text clustering-based tourist route design method is proposed.VSM is used to represent the text and convert it into a format that can be recognized by computers.TF-IDF feature weights is used to mine words that can represent the features of scenic spots.LDA is used to cluster scenic spots themes to obtain scenic spots with the same characteristics information.Based on the clustering results,combined with the characteristics of scenic spots,distance,human history and other factors,and relying on the concept of tourism core cities driving marginal cities,four characteristic tourism routes are designed.The results show that the average precision of clustering is 77%,and the method can design routes for scenic spots with the same theme characteristics.
作者
艾楚涵
AI Chuhan(School of Mathematics and Statistics,Pu’er University,Pu’er Yunnan 665000,China)
出处
《科技和产业》
2022年第9期271-278,共8页
Science Technology and Industry
基金
云南省教育厅科学研究基金(2021J0516)。
