薛凡, 刘晶岚, 刘昱齐. 基于TF-IDF方法的国家公园投射形象与游客感知形象差异研究——以三江源为例[J]. 自然保护地,2024,4(0):1−14. DOI: 10.12335/2096-8981.2024022601
引用本文: 薛凡, 刘晶岚, 刘昱齐. 基于TF-IDF方法的国家公园投射形象与游客感知形象差异研究——以三江源为例[J]. 自然保护地,2024,4(0):1−14. DOI: 10.12335/2096-8981.2024022601
XUE F, LIU J L, LIU Y Q. Study on the differences and coordination paths between projected image and perceived image of tourists in National Parks Based on TF-IDF method: the case of the Three-River-Source[J]. Natural Protected Areas, 2024, 4(0): 1−14. DOI: 10.12335/2096-8981.2024022601
Citation: XUE F, LIU J L, LIU Y Q. Study on the differences and coordination paths between projected image and perceived image of tourists in National Parks Based on TF-IDF method: the case of the Three-River-Source[J]. Natural Protected Areas, 2024, 4(0): 1−14. DOI: 10.12335/2096-8981.2024022601

基于TF-IDF方法的国家公园投射形象与游客感知形象差异研究以三江源为例

Study on the differences and coordination paths between projected image and perceived image of tourists in National Parks Based on TF-IDF method: the case of the Three-River-Source

  • 摘要:
    目的 探讨三江源国家公园官方投射形象与游客感知形象的差异与根源,提出协调路径,弥合官方投射形象与游客感知形象错位。
    方法 以TF-IDF算法提取文本关键词并归纳主要形象类目、比较语义网络关系,通过Python调用百度情感倾向分析接口探析游客情感形象。
    结果 ①官方投射形象与游客感知形象关键词重叠率为36%,“国家公园”在官方投射与游客感知中分别排名第3和15;②三江源国家公园形象可划分为资源代表性、生态系统完整性、原真性、文化氛围、公共服务、旅游体验6个主类目;③官方投射和游客感知的网络密度分别为 0.302和0.247,官方投射语义网络关系中“保护”和“生态”、“三江源”和“国家公园”呈强共现关系,游客感知语义网络中“保护”和“藏羚羊”“野生动物”呈强共现关系;④游客评论文本中积极情绪占比93%,消极情绪占比6%。
    结论 ①投射和感知形象差异较大,且游客对国家公园认知程度低;②官方和游客均缺乏对三江源国家公园生态文化价值的关注;③从语义网络分析看,官方侧重宣传生态保护,而游客关注自然风景和野生动植物资源保护;④游客情感形象以积极情绪为主,消极情绪来源于地区偏远荒凉、高原反应、交通不便等原因。

     

    Abstract:
    Objectives Explore the differences and root causes between the official projected image and the perceived image of tourists in Sanjiangyuan National Park, and propose a coordination path to bridge the gap between the official projected image and the perceived image of tourists.
    Methods TF-IDF algorithm was employed to extract text keywords and summarize the primary image categories. Furthermore, it was utilized to compare the semantic network relationships and to call the Baidu Emotional Tendency Analysis Interface, which was used to analyze the emotional image of tourists through Python.
    Results 1) The overlap rate of keywords between the official projected image and the image perceived by tourists was 36%. Additionally, “national park” was ranked 3rd and 15th in the official projection and the image perceived by tourists, respectively; 2) The image of Sanjiangyuan National Park can be classified into six main categories: resource representative, ecosystem integrity, originality, cultural ambiance, public service, and tourism experience; 3) The network densities of the official projection and tourists’ perception were 0.302 and 0.247 respectively. Furthermore, the semantic network relationships of “protection” and “ecology”, as well as “Sanjiangyuan” and “national park” in the official projection, were 0.302 and 0.247 respectively. The official projected semantic network included “ecology”, “Sanjiangyuan” and “national park”, while the semantic network of tourists’ perceptions featured “protection” and “Tibetan antelope” and “wildlife”. The semantic network of tourists’ perceptions demonstrated a robust co-occurrence relationship between the term “protection” and “Tibetan antelope” and “wildlife”; 4) Positive emotions accounted for 93% of the tourists’ comment texts, and negative emotions accounted for 6%.
    Conclusions 1) There were significant discrepancies between the projected and perceived images, and tourists demonstrated a low level of awareness of the national park; 2) Both officials and tourists exhibited a lack of attention to the intrinsic ecological and cultural values of Three-River-Source National Park; 3) From the semantic network analysis, officials focused on publicizing ecological protection, while tourists paid attention to the protection of natural scenery and wildlife resources; 4) Positive emotions were pervasive in tourists’ affective images, whereas negative emotions were attributed to various factors, including the remote location, inhospitable environment, plateau reaction, traffic and transportation, and other considerations.

     

/

返回文章
返回