Research on Sentiment Analysis of Tourism Review in The West Lake Scenic Area

Abstract

With the advent of the digital tourism era, the convergence of information technology and tourism resources has become pervasive, with tourists relying on Internet-based tools as an essential part of their travel experience. In this study, we select the tourism reviews of The West Lake Natural Scenic Area as our research sample and conduct an in-depth analysis of its current situation through the sentiment analysis. A total of 3,376 data points related to reviews on Hangzhou’s West Lake Scenic Area was extractedtrip website using the “Octopus” web crawler software. After preprocessing, this study employed word frequency analysis, generation of word clouds, and other data visualization charts to analyze ROST EA and micro. Additionally, the LDA thematic clustering algorithm and SnowNLP sentiment analysis were utilized. The findings revealed that overall, tourists predominantly expressed positive emotions towards The West Lake Scenic Area compared to negative emotions. Positive sentiments primarily stemmed from factors such as the natural beauty of The West Lake, management practices, service quality, and charges. Furthermore, different tourists exhibited varying emotional tendencies.