Article: Adaptation mechanism of animation short drama IP and e-commerce products based on multimodal emotion computing Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.95 pp.49 - 67 Abstract: To address engineering challenges in developing IP derivatives for anime short dramas under mobile internet contexts - such as lagging demand mining and subjective design adaptation - this paper proposes an intelligent adaptation design framework based on multimodal sentiment computing and generative artificial intelligence (AIGC). First, an unstructured data mining model is constructed using Python web crawlers and natural language processing (NLP) technologies to collect and clean massive user bullet-screen comments and reviews. Through TF-IDF algorithms and K-means clustering, users' vague 'instantaneous emotions' are quantified into precise 'design feature parameters'. Second, a visual attention analysis algorithm based on sliding windows is proposed. By employing peak detection, it accurately extracts 'visual anchors' in emotionally weighted segments of short dramas, establishing a feature mapping mechanism from IP morphology to e-commerce product design. Finally, a generative design workflow leveraging stable diffusion and LoRA technologies is developed. Through geometric constraints using ControlNet, it achieves automated, high-fidelity integration of IP visual features with e-commerce product forms. Empirical studies demonstrate that this method significantly improves design-user emotion alignment accuracy (accuracy) and substantially shortens product development cycles, providing a quantifiable engineering pathway for commercialisation of short video IPs. Inderscience Publishers - linking academia, business and industry through research

Title: Adaptation mechanism of animation short drama IP and e-commerce products based on multimodal emotion computing

Authors: Jiahui Fang; Enjia Zhang; Xiangdong Meng

Addresses: School of Media Technology, Liaocheng University, Liaocheng, 252000, China ' School of Artificial Intelligence and Computer Science, Liaocheng University, Liaocheng, 252000, China ' School of Media Technology, Liaocheng University, Liaocheng, 252000, China

Abstract: To address engineering challenges in developing IP derivatives for anime short dramas under mobile internet contexts - such as lagging demand mining and subjective design adaptation - this paper proposes an intelligent adaptation design framework based on multimodal sentiment computing and generative artificial intelligence (AIGC). First, an unstructured data mining model is constructed using Python web crawlers and natural language processing (NLP) technologies to collect and clean massive user bullet-screen comments and reviews. Through TF-IDF algorithms and K-means clustering, users' vague 'instantaneous emotions' are quantified into precise 'design feature parameters'. Second, a visual attention analysis algorithm based on sliding windows is proposed. By employing peak detection, it accurately extracts 'visual anchors' in emotionally weighted segments of short dramas, establishing a feature mapping mechanism from IP morphology to e-commerce product design. Finally, a generative design workflow leveraging stable diffusion and LoRA technologies is developed. Through geometric constraints using ControlNet, it achieves automated, high-fidelity integration of IP visual features with e-commerce product forms. Empirical studies demonstrate that this method significantly improves design-user emotion alignment accuracy (accuracy) and substantially shortens product development cycles, providing a quantifiable engineering pathway for commercialisation of short video IPs.

Keywords: anime short dramas; vertical screen visual rhetoric; emotional compensation; e-commerce product adaptation; visual anchors; value co-creation.

DOI: 10.1504/IJICT.2026.156131

International Journal of Information and Communication Technology, 2026 Vol.27 No.95, pp.49 - 67

Received: 24 Apr 2026
Accepted: 08 Jun 2026
Published online: 04 Sep 2026 *

Title: Adaptation mechanism of animation short drama IP and e-commerce products based on multimodal emotion computing

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