|
|||||
|
|
| 综合LDA与特征维度的丽江古城意象感知分析 | |
| 引用本文： | 梁晨晨,李仁杰.综合LDA与特征维度的丽江古城意象感知分析[J].地理科学进展,2020,39(4):614-626. |
| 作者姓名： | 梁晨晨 李仁杰 |
| 作者单位： | 河北师范大学资源与环境科学学院,石家庄 050024 河北省环境演变与生态建设实验室,石家庄 050024 |
| 基金项目： | 国家自然科学基金项目(41471127) |
| 摘 要： | 论文通过建立基于LDA(Latent Dirichlet Allocation)模型和包含两级特征维度的旅游地意象感知研究框架,将LDA主题模型用于旅游微博文本分析,以特征维度半定量刻画旅游地意象感知特征,减少LDA主题凝练的主观性,帮助研究者在特定维度框架约束下准确、客观地提取旅游地意象特征。丽江古城案例证明,一级特征维度可以完整勾勒出丽江古城意象感知的基本框架,包括以聚落形态、音乐意境、标志人物、休闲空间和纳西美食为核心的5组空间与景观元素,深度旅游者、城市居民、年轻人、女孩子4类人群的特殊感知体验,及旅游者与环境要素的不同互动特征;二级特征维度进一步精细解读丽江古城的意象感知特征,表现为丽江古城慢活性、夜生活和浪漫之都的文化意象、旅游者对地方文化与现代风情融合的凝视与体验等。结合特征维度的LDA模型,准确构建了意象基本框架,成功刻画了丽江古城的形象及精细特征,并能进一步解析意象的形成机制,为旅游地意象感知研究提供了新视角,有助于深度解读意象形成的地方意义,厘清认知、情感和行为意象间的关系。 |
| 关 键 词： | LDA模型 特征维度 共现关系 意象特征 新浪微博 丽江古城 |
| 收稿时间： | 2019-04-01 |
| 修稿时间： | 2019-05-24 |
Tourism destination image perception analysis based on the Latent Dirichlet Allocation model and dominant semantic dimensions: A case of the Old Town of Lijiang |
|
| LIANG Chenchen,LI Renjie.Tourism destination image perception analysis based on the Latent Dirichlet Allocation model and dominant semantic dimensions: A case of the Old Town of Lijiang[J].Progress in Geography,2020,39(4):614-626. | |
| Authors: | LIANG Chenchen LI Renjie |
| Institution: | School of Resources and Environmental Sciences, Hebei Normal University, Shijiazhuang 050024, China Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050024, China |
| Abstract: | To explore whether the Latent Dirichlet Allocation (LDA) topic model is suitable for analyzing the short text of tourism microblogs and whether the result can be consistent with the research results based on interviews and other data, this study established a destination image perception framework including four first-level dimensions and 10 second-level dimensions. Then the meaning of the topics is defined based on the dominant dimensions of each topic, which can reduce the subjectivity of researchers and help them to use the LDA model to extract the destination image perception quantitatively and objectively. The case study of the Old Town of Lijiang shows that in the first-level dimensions, the basic framework of image perception can be fully outlined through the five groups of core spatial and landscape elements, including the human settlements, music culture, character, leisure space and Naxi cuisine, and the special perception of the deep tourists, urban residents, young people and girls, and the characteristics of interaction of human and environmental elements. In the second-level dimensions, more detailed perception of destination image can be vividly presented from three aspects: the slow living in the Old Town of Lijiang, the culture of nightlife and romance, and tourists' perception of the fusion of local culture and modernity. This study proves the feasibility and advantage of this method—it shows that LDA is suitable for short text analysis of social media such as Weibo. Topic analysis based on dominant semantic dimensions successfully portrays the image perception of the Old Town of Lijiang and further analyzes the mechanism of image formation, and provides a new perspective for destination image perception, which has three values. It helps to accurately establish the basic framework of destination image perception; quantitatively extract the core dimensions of image perception; and deeply interpret the local meaning of destination image and clarify the relationship between cognitive, affective, and behavioral images. |
| Keywords: | LDA model dominant semantic dimensions co-occurrence relationship image characteristic Sina Weibo the Old Town of Lijiang |
| 本文献已被 CNKI 等数据库收录！ | |
| 点击此处可从《地理科学进展》浏览原始摘要信息 | |
| 点击此处可从《地理科学进展》下载免费的PDF全文 | |