Aggregating textual and video data from movies
Journal Title: Revista Romana de Interactiune Om-Calculator - Year 2016, Vol 9, Issue 3
Abstract
In this paper, we present an automatically annotated corpus2 based on movie screenplays (script) and subtitles. We extract the relevant textual information from movie screenplays and subtitles using a regular expression approach. Then, we synchronize screenplays with subtitles using a matching algorithm, thus bounding each sentence from a script between two temporal limits. We also developed an application using the corpus to test our approach and to show practical situations where this corpus is useful. The application employs topic detection and it involves searching for a specified topic in the movie text and marking the topic as a non-existent, episodic or primary topic for the analyzed text. The major problem we faced while working on this system was the unexpected structure of the screenplay sheets as this kind of files is not entirely written using a standardized format which can be easily parsed and structured automatically. Some types of errors can be overcome with regular expressions, but there are other errors that need a machine learning approach to be surpassed.
Authors and Affiliations
Alexandru Hulea, Traian Rebedea
Keywords
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