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Hybrid Genre Recognition Based on Movie Script Features

机译:混合类型基于电影脚本功能的识别

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摘要

Identifying a template and categorizing the movies with a Hybrid genre is an illustrious issue with many tries and approaches to resolve it. A Hybrid genre is a genre that blends themes and elements from two or more different genres. From the parallel analysis of various movie scriptswith Multiple subgenres, 9 recurrent features namely the focus of concentration of the main character in the movie, changes of locations, proportions of verbal and non-verbal communication in the movie, number of scene changes, number of night/day scenes and number of Interior/exterior scenesare identified and variations in the proportions of these features will give the clarity to classify and identify the movies with hybrid genre. This work is a step towards automatic identification of movie script with hybrid genres given a random movie script. The methodology for automaticsubgenre identification of movies uses 9 script based features and the correctness of the proposed classification is verified with Naive Bayes machine learning techniques. Thus an accuracy of 85% is achieved in identifying the 5 most popular hybrid genres namely Action comedy, Horror comedy,Romantic comedy, Sci-fic comedy and Thriller comedy and also the experimental results shows that the proposed work performs better than the existing techniques.
机译:用混合类型识别模板并将电影分类是一个杰出的问题,有许多尝试和方法来解决它。杂交类型是一种混合来自两种或更多种不同类型的主题和元素的类型。从各种电影脚本上的并行分析多个子系数,9个经常性的特征即焦点的电影中主角的集中,地点的变化,动画中的口头和非口头通信的比例,场景数量的数量变化,数量夜间/日场景和内部/外部场景的数量确定和这些功能的比例的变化将使分类和识别具有混合类型的电影的清晰度。这项工作是朝着用杂种类型自动识别电影脚本的步骤给出了随机电影脚本。 Automaticsubgenge识别电影的方法使用9个基于脚本的特征,并通过Naive Bayes机器学习技术来验证所提出的分类的正确性。因此,在识别5个最受欢迎的混合类型时,识别55%的准确性是行动喜剧,恐怖喜剧,浪漫喜剧,SCI-FIC喜剧和惊悚喜剧,以及实验结果表明,所提出的工作表现优于现有技术。

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