In this paper, we introduce the task of predicting severity of age-restricted aspects of movie content based solely on the dialogue script. We first investigate categorizing the ordinal severity of movies on 5 aspects: Sex, Violence, Profanity, Subst
ance consumption, and Frightening scenes. The problem is handled using a siamese network-based multitask framework which concurrently improves the interpretability of the predictions. The experimental results show that our method outperforms the previous state-of-the-art model and provides useful information to interpret model predictions. The proposed dataset and source code are publicly available at our GitHub repository.
This paper seeks to offer the possibility of comparing
Hawthorn's The Scarlet Letter both in fiction and movie. The main
focus will be on the similarities and differences between the novel
and the film. It will also underpin the falsification of c
onsciousness
initiated by the director of the film, Roland Joffé, who directed and
produced a twisted version that has distorted that masterpiece.
The adaptation, directed and produced, is in fact far from the
factual novel, especially in terms of plot, themes, characters, the
author's point of view, symbols and allegory. This paper deals with
Roland Joffé's film despite the fact that there are many others, but
the researcher deemed that Joffé's is more challenging than the
others. Finally, it can be claimed that this adaptation adopted in
this study has been deformed for implicit reasons known only by
the producer.
