Scenic keyword crawling prediction analysis model based on Python technology

Abstract

With the rapid development of the Internet and the advent of the era of big data, data mining has played an important role in exploring potential value information from massive data, and has become one of the current popular research and practice directions. As a relatively popular programming language in the field of data mining, python has become an indispensable tool in the process of data mining with its rich technical library and powerful scientific computing capabilities. This research is mainly based on the python language. Taking Wuhan as an example, data mining analysis and modeling are carried out on the keyword data of the scenic spot, and then a prediction and classification model for the number of people in the scenic spot is obtained, so as to effectively improve the precise management of the scenic spot by the cultural and tourism department.