机构地区:[1]湖南师范大学旅游学院,湖南长沙410081 [2]浙江工商大学管理工程与电子商务学院,浙江杭州310018
出 处:《旅游学刊》2025年第2期74-89,共16页Tourism Tribune
基 金:国家社科一般基金项目“数字沉浸式场景下文化旅游深度融合机制研究”(23BGL182)资助。
摘 要:情感贯穿于旅游活动的始终,是旅游研究中不可忽视的一个重要议题。数字沉浸式场景推进了文化和旅游深层内涵(沉浸体验/消费升级)与内容禀赋(数字文明/文化传续)的价值融凝,情感体验成为其发展中的题中之义。尽管已有研究揭示了旅游者情感体验的内涵、特征、效应、应用等,但均集中在旅游者情感体验的关联领域而非本体领域。基于此,该研究通过结合训练语料库和深度网络学习两种方法,建立情感数据库,标注情绪,通过Word2vec、TF-IDF、SO-PMI模型提取反映情感态度倾向的特征词,映射旅游者情感状态;利用情感本体库分类树方法筛选和归纳形成情感词典;再依据情感词典内部特征,建构数字沉浸式场景下旅游者情感体验交互矩阵。研究发现:1)所构词典较好地反映了数字沉浸式场景特色词汇,具有较高情感识别度,能有效提高情感分析任务的性能;2)能够明晰数字沉浸式场景下旅游者情感体验特征,一方面,积极和消极情感体验因素结合形成“乐”“好”“怒”“哀”“恶”“惧”“惊”7类情感簇群,另一方面,从旅游者情感体验的发生缘由、表现形式和作用结果衍生出场景架构、情感倾向、价值取向3个层面场景情感体验特征,并呈现出“初评价-次评价-再评价”的情感认知表现;3)“三横四纵”数字沉浸式场景下旅游者情感体验交互矩阵,探索和揭示了场景与旅游者之间的情感联动和运行机制。研究结果不仅为提升数字沉浸式场景下旅游者情感体验质量指明了发展方向,而且为数字沉浸式场景的设计与呈现、人文精神传播与创意营销提供了实践指导。“Emotion”pervades the whole process of tourism activities and represents a crucial area of inquiry that cannot be overlooked in the context of tourism studies.The integration of the deep connotations of culture and tourism(immersive experience/consumption upgrade)and content endowment(digital civilization/cultural transmission)is promoted in digital immersive contexts.The emotional experience thus becomes the meaning of its development.While existing studies have elucidated the significance,attributes,consequences and applications of tourist emotional experience,they have predominantly focused on the relational aspect of tourist emotional experience,rather than delving into its ontology.Based on this,a two-pronged approach is taken,combining training corpus and deep network learning,to establish an emotion database.This is used to label emotions,and feature words reflecting emotional attitude tendency are extracted by Word2vec,TF-IDF and SO-PMI models to map tourists'emotional state.The emotion dictionary has been constructed using the classification tree method,in accordance with the principles of the emotion ontology database.Subsequently,the interactive matrix of tourists'emotional experiences under the digital immersion context is constructed,based on the internal characteristics of the sentiment lexicon.The findings indicate that:1)The constructed lexicon is effective in reflecting the characteristic vocabulary of digital immersive contexts,and exhibits a high degree of emotion recognition,thereby enhancing the efficacy of sentiment analysis tasks.2)It can elucidate the characteristics of tourists'emotional experiences in digital immersive contexts.On the one hand,the combination of positive and negative emotional experience factors forms seven emotional clusters,namely“joy”“good”“anger”“sorrow”“evil”“fear”and“fright”.On the other hand,from the“cause of occurrence”,“form of expression”and“effect result”of tourists'emotional experience,three aspects of scene emotion
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