# Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies

arXiv: https://arxiv.org/abs/1908.07819 · HTML: https://mlsanity.com/paper/1908.07819/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Aug 2019.

## Built on by (most cited first, 2 of 2)

- [A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers](https://mlsanity.com/paper/2101.11704/) (2021)
- [Video-Based MPAA Rating Prediction: An Attention-Driven Hybrid Architecture Using Contrastive Learning](https://mlsanity.com/paper/2509.06826/) (2025)

## Abstract (arXiv)

The film culture has grown tremendously in recent years. The large number of streaming services put films as one of the most convenient forms of entertainment in today's world. Films can help us learn and inspire societal change. But they can also negatively affect viewers. In this paper, our goal is to predict the suitability of the movie content for children and young adults based on scripts. The criterion that we use to measure suitability is the MPAA rating that is specifically designed for this purpose. We propose an RNN based architecture with attention that jointly models the genre and the emotions in the script to predict the MPAA rating. We achieve 78% weighted F1-score for the classification model that outperforms the traditional machine learning method by 6%.