基于Python的《抓娃娃》电影影评情感分析研究

Emotional Analysis Research on the Movie Reviews for “Successor” Based on Python

摘要: 本文利用Python编程语言，结合自然语言处理技术，对电影《抓娃娃》的影评进行了情感分析。研究收集并处理了大量豆瓣网上《抓娃娃》的影评数据，对其进行了可视化分析，并进行了TextBlob情感分析。研究结果显示，观众对电影《抓娃娃》的情感评价呈现出多样性，但整体上消极情感评论的数量相对较高，主要集中在教育理念、亲子相处以及贫富形象塑造等方面的争议。本研究揭示了观众对电影《抓娃娃》的情感倾向并分析了其背后的原因，具有一定的理论和实践价值。

Abstract: This paper utilizes the Python programming language and natural language processing techniques to conduct a sentiment analysis of reviews for the movie “Successor”. The study collected and processed a large amount of review data from Douban for the movie “Successor”, performed visual analysis, and conducted sentiment analysis using TextBlob. The results show that audience sentiments toward the movie “Successor” are diverse, but overall, the number of negative reviews is relatively high, primarily focusing on controversies surrounding educational concepts, parent-child relationships, and the portrayal of wealth and poverty. This study reveals the emotional tendencies of audiences toward the movie “Successor” and analyzes the underlying reasons, offering certain theoretical and practical value.