Audience Feedback of Chinese Animated Movies Based on Sentiment Analysis Algorithm

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 9

Year of Publication : 2024

Authors : Jihong Huang, Shafilla Binti Subri, Faryna Khalis

10.14445/23488379/IJEEE-V11I9P106

How to Cite?

Jihong Huang, Shafilla Binti Subri, Faryna Khalis, "Audience Feedback of Chinese Animated Movies Based on Sentiment Analysis Algorithm," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 9, pp. 69-77, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I9P106

Abstract:

This paper examines the audience response to Chinese animated movies through analysis of sentiment analysis to identify the perceptions and feelings of viewers. Recently, Chinese animation has achieved success due to its diverse narratives, which implies the need for audience study. Sources of data included social media and movie review websites, with data being preprocessed as follows: text normalization and feature extraction. Three sentiment analysis algorithms, namely VADER, SVM, and RNNs, were used to test the accuracy of sentiments in two categories of UGC. Table 1 indicates that RNNs had the highest accuracy of 85 percent, thus validating the ability of such models to capture compound opinions within texts in the Chinese language. Positive response-wise, positive sentiments dominated the sentiment analysis at 63%, and this demonstrates appreciation from the audience for works that embody cultural values from China. The findings of the study have several practical implications regarding the fine-tuning of content management processes to better engage the target audience and market the content contained to them. In the course of the analysis of the findings, attention was given to the ethical issues of the data use and proper handling of materials posted by the users. Further improvements to the current study can be made by conducting longitudinal research and comparing the results of the Chinese animation audience with those of other demographics to provide more comprehensive insights into the audience preferences and the industry in the Chinese context.

Keywords:

Chinese animation, Sentiment analysis, Audience feedback, Cultural resonance, Machine Learning.

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