Sentiment analysis and visualization of Chinese tourism blogs and reviews

Reviews of tourist areas are based on the author's experience; hence, when other users travel to a tourist area, they may experience it differently. Over the years, many papers analyzing tourism reviews have been published. However, there are not many papers that analyze tourism blog data and present a summary of their content. One aspect of blog content is the large quantity of data, making it difficult for users to understand the blog content in a short amount of time. Therefore, in this paper, we propose a system to analyze blogs and review data written by users based on their tourism experiences, summarize their content, and visualize the information that the blog authors intended to convey according to various tourism properties. The results of our experiments confirmed that the system proposed in this paper can reduce the time spent by an average of 91.6%.