Sentiment Analysis of Online Comments through Semantic Networks and ROST Text Mining Software*

Collecting the evaluation and feelings of tourists on the image of tourist destinations through network texts, and using data mining methods to get the feelings of tourists during their play has become an important way to study the image of tourism. Take Gulangyu Island in Xiamen as an example, take the text data of tourist review websites as samples, and use ROST ContentMining software to extract high-frequency feature words of Gulangyu tourism online reviews to understand the content and themes of Gulangyu tourism image; use content analysis methods to construct social networks and semantic networks, And conduct sentiment analysis to analyze the degree of satisfaction of tourists with Gulangyu tourism.