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...

conclusions the sex differences in the neuroanatomy of the human mirror neuron system affect functional recovery of patients with hemiparesis. the improvement in studied women was found to be significantly greater than studied men. the results indicate a higher chance of recovery among hemiparetic women, especially those watching functional movies. results comparison of all variables related to...

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...

Based on a contrastive approach that compares the argumentative genre of editorial with the narrative genre of personal narrative across two production modes, single-authored data and data elicited in an editing-based task, this paper examines the impact of genre on the realizations of discourse relations, paying particular attention to the argumentative genre and its preferential realizations ...

This paper gives a brief description on the methods adopted for the task of author-profiling as part of the competition PAN 2016 [1]. Author profiling is the task of predicting the author’s age and gender from his/her writing. In this paper, we follow a two-level ensemble approach to tackle the cross-genre author profiling task where training documents and testing documents are from different g...

A web page is a complex document which can share conventions of several genres, or contain several parts, each belonging to a different genre. To properly address the genre interplay, a recent proposal in automatic web genre identification is multi-label classification. The dominant approach to such classification is to transform one multi-label machine learning problem into several sub-problem...