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Sentiment Analysis of Animated Film Reviews Using Intelligent Machine Learning.

Cheng Chen1, Bin Xu1, Jong-Hoon Yang1

  • 1Department of Digital Image in Sangmyung University, Seoul 03015, Republic of Korea.

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This study analyzes online reviews of animated films using machine learning to understand audience sentiment and identify gaps between Chinese and international productions. The findings aim to support the growth of domestic animation by leveraging viewer feedback for strategic development.

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Area of Science:

  • Film Studies
  • Cultural Studies
  • Computer Science

Background:

  • Animated films are crucial for cultural soft power and economic growth, reflecting national identity and industry strength.
  • The rise of internet technology and social media has created platforms for extensive online film reviews.
  • Online reviews provide valuable insights into audience sentiment, influencing box office success and cultural dissemination.

Purpose of the Study:

  • To conduct sentiment analysis and deep semantic mining of animated film reviews.
  • To understand audience emotional tendencies and needs regarding animated films.
  • To identify gaps between Chinese and international animation films based on viewer comments.

Main Methods:

  • Utilizing textual data mining and statistical analysis of online animation film reviews.
  • Employing machine learning models, particularly deep neural networks, for sentiment classification.
  • Analyzing viewer comments from different countries to compare animation film reception.

Main Results:

  • Machine learning models demonstrate effectiveness in handling noisy text and feature self-learning for sentiment classification.
  • Online reviews significantly impact box office performance and cultural spread.
  • Analysis of viewer comments can reveal specific areas for improvement in domestic animation.

Conclusions:

  • Sentiment analysis of animated film reviews is essential for understanding audience reception.
  • Machine learning offers robust capabilities for analyzing complex textual data in film reviews.
  • Insights from this research can guide the strategic development and cultural export of Chinese animated films.