What Python Reveals About Public Reaction to “Chinese Doctor” – A Data‑Driven Review Analysis

1. Douban Review Analysis

The film “Chinese Doctor” attracted massive attention, reaching nearly 5 billion reads within days and surpassing 242 million CNY in box office by July 11. The author scraped Douban reviews and used the pyecharts library to create a pie chart of rating distribution.

The chart shows that over 60% of reviewers gave five‑star ratings, about one‑third gave four stars, and less than 10% gave three stars or lower.

2. Keyword Word Clouds

To visualize frequent terms, the author tokenized the reviews with jieba , counted word frequencies, and generated word clouds using the stylecloud library.

A similar process was applied to the 2019 documentary “Chinese Doctor,” whose word cloud highlights themes of medical professionalism and dedication.

3. Review Statements

Overall, viewers praised the film’s realistic portrayal of frontline medical workers during the pandemic, noting the powerful performances of actors such as Zhang Hanyu, Yuan Quan, and Yi Yangqianxi, which often moved audiences to tears.

4. Weibo Fan Comments

Word clouds of Weibo comments for actors Yi Yangqianxi and Yuan Quan show fans expressing appreciation and encouraging the actors to continue delivering outstanding work.

5. Conclusion

The analysis demonstrates that “Chinese Doctor” resonates strongly with audiences, highlighting the heroic spirit of Chinese medical staff during the COVID‑19 crisis, and suggests the film is worth watching in theaters.