Application of Affective Computing Technology in Audience Feedback Analysis of Online Short Dramas — How to Accurately Capture Audience Emotional Preferences through AI

Authors

  • Jun Dai

DOI:

https://doi.org/10.54691/qt44sd98

Keywords:

Affective Computing Technology; Online Short Dramas; Audience Emotional Preferences; AI.

Abstract

With the rapid development of online short dramas, accurately grasping audience emotional preferences is crucial for their creation and dissemination. This paper focuses on affective computing technology, explores its application in audience feedback analysis of online short dramas. By sorting out relevant theories and technologies and combining with practical case analysis, it expounds how to use AI to achieve accurate capture of audience emotional preferences, aiming to provide new ideas and methods for content optimization and market expansion in the online short drama industry.

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References

[1] Research on Natural Language Models and Image Emotion Computing Based on Transformer Model [J]. Gaomeng; Cheng Yanming; Liu Xing Journal of Beijing Film Academy, 2024 (12)

[2] Research on the Application of AI Empowered Visual Communication Design in the Perspective of New Quality Productivity [J]. Ku Xiaowei; Zhao Wenkai; Feng Zhenzhen; Wang Linyan Footwear Technology and Design, 2025 (03)

[3] Research on the co-occurrence mechanism and guidance strategy of three-dimensional network public opinion information dissemination based on information authentication and sentiment computing [J]. Song Jinbao; Yang Mingxing; Diao Lijun Research on Information Communication, 2024 (06)

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Published

2025-09-16

Issue

Section

Articles

How to Cite

Dai, Jun. 2025. “Application of Affective Computing Technology in Audience Feedback Analysis of Online Short Dramas — How to Accurately Capture Audience Emotional Preferences through AI”. Scientific Journal Of Humanities and Social Sciences 7 (10): 182-86. https://doi.org/10.54691/qt44sd98.