Journal of Applied Science and Engineering

Published by Tamkang University Press

ESCI jase impact factor scopus logo open access rate of Scopus journal

AI-Assisted Automated Micro-film Script Generation and Analysis System

 2026

 Volume 33

Dongxue Tan

Lecturer, School of Journalism and Communication Shenyang Normal University, Shenyang 110000, China

Received: February 26, 2026
Accepted: April 17, 2026
Publication Date: June 27, 2026

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Proposed Workflow for GPT-2–Based Micro-Film Script Generation.

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation:  BibTeX | http://dx.doi.org/10.6180/jase.202610_33.020  

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With the rise of short stories in the digital medium, there has been a growth of interest in developing intelligent, scalable systems that generate micro-film scripts. This paper introduces an Artificial Intelligence-assisted automated framework to generate micro-film scripts, and to analyze their narrative structure and content using a Fine-tuned GPT-2 Transformer Model. Movie scripts are pre-processed to normalize, tokenize by sub-words, and segment the text into fixed-length sequences to develop “screenplay” specific narrative patterns. The model is then further trained using the AdamW Optimiser with a learning rate of 5E-5, a batch size of 8 and training over 3 epochs; additionally, micro-film scripts will be generated using Nucleus Sampling (top-p = 0.9), and Temperature Scaling (temperature = 0.8). An extensive evaluation framework has been used to evaluate the outputs of the proposed framework via BLEU, ROUGE, Distinct-N, Semantic Similarity, Narrative Coherence, and Sentiment Consistency metrics. The experimental evaluations showed a proposed framework generated high semantic similarity (0.93), strong lexical diversity (Dist-2 = 0.83), and stable sentiment consistency (0.555) indicating a proposed framework generated fluent, creative scripts. However, global narrative coherence was evidenced to be only moderate (0.264); therefore, the proposed framework could provide a reproducible and scalable solution to allow for automated micro-film script creation and use in creative, educational and commercial industries.

Keywords: Micro-films; Short dramas; documentaries; And other film and television genres; AI-Assisted Script Generation

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