基于多源异构评论的旅游目的地形象 及其影响因素 ——情感分析视角.

Comments on both community-based and transaction-based platforms include tourism attractions, tourism services, and tourist emotions, but whether these two types will lead to similarities and differences in the overall image and segmented image is a proposition worth exploring. Based on the three-dimensional model of "cognition-emotion-integrity", Lijiang ancient city was used as the case area, Sina Weibo and Ctrip reviews representing community-based and transactional data respectively were used as the research data, combined with Python programming to call Baidu Sentiment Dictionary sentiment analysis method, used LDA to refine image themes, and constructed a co-occurrence relationship network map combining VOSviewer and Gephi to Analyze the similarities and differences between two types of data-driven overall image, cognitive image and emotional image and their influencing factors. The results show that 1) The overall image of destinations based on Sina Weibo's community-based and Ctrip's transaction-based reviews is mainly positive, with similar changes in annual image changes, and the distribution of emotional polarity is basically the same. 2) Although both community-based and transaction-based reviews can reflect cognitive and emotional image themes such as destination services, attractions, and environmental economy, the cognitive image theme score of the former is significantly higher than that of the latter, while the emotional image is the opposite . 3) There is little difference in the contribution rate of cognitive and emotional factors to the overall image of the destination driven by the two kinds of review data, while the effect of the economic price factor of the transaction type review is significantly higher than that of the community type review. The research provides a certain reference basis for using large-scale multi-source heterogeneous data to analyze destination image and tourism marketing work. [ABSTRACT FROM AUTHOR]