This project explores several Machine Learning methods to predict movie genres based on plot summaries. Naive Bayes, Word2Vec+XGBoost and Recurrent Neural Networks are used for text classification, while K-binary transformation, rank method and probabilistic classification with learned probability threshold are employed for the multi-label problem involved in the genre tagging task. Experiments...

This study was an attempt to identify the interlingual strategies employed to translate English subtitles into Persian and to determine their frequency, as well. Contrary to many countries, subtitling is a new field in Iran. The study, a corpus-based, comparative, descriptive, non-judgmental analysis of an English-Persian parallel corpus, comprised English audio scripts of five movies of differ...

this study was an attempt to identify the interlingual strategies employed to translate english subtitles into persian and to determine their frequency, as well. contrary to many countries, subtitling is a new field in iran. the study, a corpus-based, comparative, descriptive, non-judgmental analysis of an english-persian parallel corpus, comprised english audio scripts of five movies of differ...

The movie genre "snuff" appeared in the late 70s and shows the allegedly real, often cruel killing of people. More recently, a growing number of short video clips have been distributed via the internet, which also belong into this category and were clearly recognized as fictional on the basis of technical details by two study groups at the 80th Annual Meeting of the German Society of Legal Medi...

Major studios and independent production firms (Indies) often have to select or “greenlight” a portfolio of scripts to turn into movies. Despite the huge financial risk at stake, there is currently no risk management tool they can use to aid their decisions, even though such a tool is sorely needed. In this paper, we developed a forecasting and risk management tool, based on movies scripts, to ...

We propose an audio-visual approach to video genre classification using content descriptors that exploit audio, color, temporal, and contour information. Audio information is extracted at blocklevel, which has the advantage of capturing local temporal information. At the temporal structure level, we consider action content in relation to human perception. Color perception is quantified using st...

background: scenes depicting smoking are among the causes of smoking initiation in youth. the present study was the first in iran to collect some primary information regarding the presence of smoking scenes in movies and propagation of tobacco use. methods: this cross-sectional study was conducted by polling audience about smoking scenes in persian movies on theaters in 2011. data were collecte...

OBJECTIVE: The objective of this study was to describe food and beverage brand placements in a large representative sample of popular movies. METHODS: We identified and coded brand placements for foods, beverages, and food retail establishments in the top 20 US box officemovie hits for each year from 1996 to 2005. We also coded general movie characteristics (Motion Picture Association of Americ...

OBJECTIVE: The objective of this study was to describe food and beverage brand placements in a large representative sample of popular movies. METHODS: We identified and coded brand placements for foods, beverages, and food retail establishments in the top 20 US box officemovie hits for each year from 1996 to 2005. We also coded general movie characteristics (Motion Picture Association of Americ...