Public satisfaction evaluation of museums based on Python
Abstract: With the continuous development of China's economy, Beijing, as the cultural center of China, the level of cultural consumption of the public is constantly improving. As one of the most popular cultural consumption methods of the public, the museum has continuously increased its number of visits. At the same time, with the advent of the Internet age, the Internet has become an indispensable part of the public life. As one of the most popular Internet social softwares, Weibo has a large number of users who have expressed their feelings about life through Weibo. This article will use Python to capture data, capture different types of museum microblog texts, and use this as a basis for sentiment analysis, calculate the public's emotional tendency towards the museum, and classify the evaluation values. The results of sentiment analysis are analyzed through the perspectives of museums, seasons and districts.
Keywords: data capture;microblog text; museum; sentiment analysis; sentiment orientation