网络文本成为了解游客体验感知的重要途径，受到学术界的广泛关注。运用网络爬虫技术，爬取关于三河古镇的游客网络评论，使用ROST Content Mining软件进行整合处理，筛选出网络上游客对三河古镇的高频特征词汇，运用网络文本分析法，进行高频词汇词性词频分析、语义网络分析、情感分析，结果发现三河古镇的游客体验感知主要体现在景区区域位置、旅游吸引物、基础设施和旅游环境四个维度，游客对三河古镇总体上抱有积极情绪，旅游体验整体呈现满意趋势。结论提出三河古镇应从保持区域优势、打造特色文旅小镇、让文化“活起来”、美化环境等方面提升游客体验感知。

At present, the web text has become an important source to help understand tourists' experience and perceptions, which has attracted the attention of academia. Web crawler technology is used to crawl online tourist comments about Sanhe Ancient Town, which are processed by ROST Content Mining software to filter out high - frequency feature words. By using web text analysis method, part-of-speech and frequency analysis of high - frequency words, semantic network analysis, and sentiment analysis are conducted. The results show that the tourists' perceptions of Sanhe Ancient Town mainly involve the four dimensions of location, attractions, infrastructure, and tourism environment. Tourists generally have positive attitudes towards Sanhe Ancient Town, and they show overall satisfaction with their travel experience. It is suggested that Sanhe Ancient Town should improve tourists' experience and perceptions from the aspects of maintaining regional advantages, building a characteristic cultural town, "revitalizing" culture, and beautifying the environment.