By analyzing the film review data of Douban users, this paper analyzes the emotions of movies in different countries at different times, and shows the effect through cloud pictures and histograms.

Resource link:/download/zhuqiuhui/85100293

Analyze the changes of film types shot in different countries with time.

Key phrases used to build tf-idf model are extracted from user movie reviews. Divided into positive key phrases and negative key phrases.

It is an association rule extracted from movie style tags.

Movie clustering based on kmeans algorithm. The samples are coded by one key, and then clustered by kmeans algorithm. * * * Set 4 categories and show them through cloud images (see effect).

Open: Chen Fang's blog