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基于网络文本的秦皇岛旅游形象感知研究 被引量:5

A Study on the Perception of Tourism Image based on the Web Text
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摘要 以300篇秦皇岛游记为样本,利用RostCM6对文本进行分词、词频统计,得到高频特征词。通过分析可知:北戴河与山海关的认知度相对较高;来秦旅游者更偏向于游览自然景点,新媒体营销促成了新的旅游热点;除旅游景点外,游记多涉及旅游者的食、住、行,购物及娱乐设施涉及较少;旅游者对秦皇岛的旅游感知形象以积极情感为主。 This article, taking 300 travel notes of Qinhuangdao as samples, using RostCM6, seg-mented words and analyzed word frequency to get high frequency words. The analysis results were concluded as follows: Beidaihe and Shanhaiguan have higher awareness; tourists prefer to visit natural attractions, and new media marketing has contributed to new hot tourist spots; the travel notes are mainly about tourists' eating, housing, and travel, shopping and entertainment are less. Tourists' perception of Qinhuangdao's tourism is mainly positive emotions.
作者 武王英 Wu Wangying(College of Business Administration,Zhongnan University of Economics and Law,Wuhan Hubei 430073,China)
出处 《中国环境管理干部学院学报》 CAS 2018年第3期38-41,共4页 Journal of Environmental Management College of China
关键词 旅游形象 网络文本 内容分析法 秦皇岛 tourism image web text content analysis Qinhuangdao
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