Movie Automation Research Trends Dataset (2010–2024) by Pratik Kalamkar

This dataset contains manually curated metadata and feature annotations extracted from 38 IEEE research papers on movie automation. The dataset includes publication year, research category, dataset availability, data modality, machine learning algorithms, training strategies, feature extraction methods, and evaluation metrics. It was created to support reproducible research in movie certification, genre classification, rating prediction, and movie success forecasting. Citation If you use this dataset in academic research, please cite: Kalamkar, P. N., & Sharma, Y. K. (2025). A Review of Research Trends in Movie Automation. 2025 International Conference on Computer Technology Applications (ICCTA), Vienna, Austria, 154–163. DOI:https://doi.org/10.1109/ICCTA65425.2025.11166207@INPROCEEDINGS{11166207, author={Kalamkar, Pratik N. and Kumar Sharma, Yogesh}, booktitle={2025 International Conference on Computer Technology Applications (ICCTA)}, title={A Review of Research Trends in Movie Automation}, year={2025}, pages={154-163}, doi={10.1109/ICCTA65425.2025.11166207}}