As an important carrier of cultural communication, tourism can play a positive role in promoting regional ecology and cultural heritage. Therefore, this paper takes tourist attractions in the Yellow River basin as the research object and constructs mining and comment sentiment analysis for tourism text information in the Yellow River basin that appears on social media platforms. Based on the theory of the social center network, the tourism culture network of the Yellow River basin based on tourists’ emotion analysis is constructed. In addition, based on the linear fusion algorithm of semantic orientation pointwise mutual information and word2vec, this paper constructs an emotion dictionary in the field of tourism review and proposes a set of comprehensive emotion calculation rules based on Chinese text expression structure. The experimental results of 32 scenic spots in the Yellow River basin show that the proposed algorithm can achieve better sentiment classification of tourism texts, broaden the scope of application of the domain sentiment dictionary construction method, and improve efficiency.

中文翻译：

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基于深度学习的黄河流域旅游文化文本情感分析框架

旅游作为文化传播的重要载体，对促进区域生态和文化传承具有积极作用。因此，本文以黄河流域旅游景点为研究对象，对社交媒体平台上出现的黄河流域旅游文本信息进行挖掘和评论情感分析。基于社会中心网络理论，构建基于游客情感分析的黄河流域旅游文化网络。此外，基于语义方向逐点互信息和word2vec的线性融合算法，构建旅游评论领域的情感词典，提出一套基于中文文本表达结构的综合情感计算规则。