Scholarly work regarding tourist behavior requires more empirical support especially concerning methods to extract emotions and sentiments from user-generated comments on social media. Research on predicting behavioral intentions of foreign tourists who faced culture shock (or unexpected surprise) has been under-represented in tourism literature. This paper used Aspect Based Sentiment Analysis (ABSA) and Emotion analysis (EA) to predict tourist behavior from User Generated Comments (UGCs) post their travel in three Asian countries. Findings reveal the presence of a sizeable inactive group of tourists who were indifferent towards post-travel behavioral intentions. The study recommends destination managers to consider managing tourist emotions, specifically sad surprise, in the travel phase of the tourists to strategically manage the post-travel behavior of tourists on social media. A conceptual model has been presented to operationalise these constructs to broadly predict destination optimism and destination pessimism proclivities of the tourists.

关于旅游者行为的学术工作需要更多的实证支持，尤其是关于从社交媒体上用户生成的评论中提取情感和情绪的方法。关于预测面临文化冲击（或意想不到的惊喜）的外国游客的行为意图的研究在旅游文献中的代表性不足。本文使用基于方面的情感分析 (ABSA) 和情感分析 (EA) 从用户生成的评论 (UGC) 预测游客在三个亚洲国家的旅行后的行为。调查结果显示，存在大量不活跃的游客群体，他们对旅行后的行为意图漠不关心。该研究建议目的地经理考虑管理游客的情绪，特别是悲伤的惊喜，在游客的旅游阶段，战略性地管理游客在社交媒体上的旅游后行为。已经提出了一个概念模型来操作这些结构，以广泛预测游客的目的地乐观和目的地悲观倾向。