Analysis of Animation Themes and Sentiment Tendencies in Reviews Based on Natural Language Processing

Yang Qian

doi:10.47297/wspciWSP2516-252746.20261003

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Analysis of Animation Themes and Sentiment Tendencies in Reviews Based on Natural Language Processing

Volume 10, Issue 3

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Analysis of Animation Themes and Sentiment Tendencies in Reviews Based on Natural Language Processing
Analysis of Animation Themes and Sentiment Tendencies in Reviews Based on Natural Language Processing
School of Computer Engineering, Jiangsu Second Normal University, Nanjing, Jiangsu, 210013, China
Vol. 10, Issue 3, Pages: 227-230(2026)
Online First：07 August 2026，

Published：30 June 2026
DOI：10.47297/wspciWSP2516-252746.20261003
Accepted：

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Yang Qian.Analysis of Animation Themes and Sentiment Tendencies in Reviews Based on Natural Language Processing[J].Creativity and Innovation,2026,10(03):227-230.
DOI：

Yang Qian.Analysis of Animation Themes and Sentiment Tendencies in Reviews Based on Natural Language Processing[J].Creativity and Innovation,2026,10(03):227-230. DOI： 10.47297/wspciWSP2516-252746.20261003.

摘要

Abstract

With the rapid advancement of technologies such as Artificial Intelligence (AI) and Natural Language Processing (NLP)

text mining has emerged as a mainstream analytical tool in the fields of film and television. However

when processing the vast volume of non-standard online review texts in the animation industry

challenges persist

including the low efficiency of manual analysis

insufficient depth in data mining

and the difficulty of identifying domain-specific terminology. This paper systematically reviews the current research landscape of NLP-based animation theme mining and review sentiment analysis. It elucidates the core technical principles and the transmission mechanism of the "Theme-Sentiment-Audience Effect" triad. Furthermore

the study classifies and summarizes major sentiment analysis algorithms

analyzing their respective strengths

weaknesses

and characteristics through performance comparisons. Building on this

a comprehensive implementation method for NLP-based animation theme extraction and sentiment orientation analysis is proposed. Finally

the paper discusses the application prospects and challenges of NLP technology within the animation industry

providing a robust theoretical foundation for its further integration into word-of-mouth marketing

content production

and industrial upgrading.

关键词

Keywords

references

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