Development of Collaborative Script Analysis Platform Based on Web for Information Retrieval Related to Story (스토리 정보의 검색을 위한 웹 기반의 협업적 스크립트 분석 플랫폼 개발)

Seung Bo Park (박승보); 김현식; BAEK， Yeong Tae (백영태); YOU Eun-Soon (유은순)

Development of Collaborative Script Analysis Platform Based on Web for Information Retrieval Related to Story

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2014, 19(9), pp.93-101
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Seung Bo Park ¹, 김현식 ¹, BAEK， Yeong Tae ², YOU Eun-Soon ¹

¹단국대학교
²김포대학교

Accredited

ABSTRACT

Movie stories can be retrieved efficiently by analyzing a script, which is a blueprint of themovie. Although the movie script is described in the formatted structure of Final Draft, it is hardto restore the type without analyzing the story of the sentences since the scripts open on thewebsite are mostly broken. For this purpose, it is necessary to develop and provide the web-basedscript analysis software so that users collaboratively and freely check and correct the errors in the results after automatically parsing the script. Hence, in this paper we suggest the structure of theweb-based collaborative script analysis platform that enables users to modify and filter the typeerror of the script for high level of film data accumulation and performance evaluation for theimplementation results is conducted. Through the experiment, accuracy of automatically parsingappears to be 64.95% and performance of modification by collaboration showed 99.58% of accuracyof parsing with errors mostly corrected after passing through 5 steps of modification.

KEYWORDS

Story, Cinemetrics, Script, Collaboration, Parser

Citation status

* References for papers published after 2023 are currently being built.

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[confproc] S. -B. Park / 2014 / Collaborative Script Analysis Platform for Cinemetrics Based on Story / Proceedings of The Korea Society of Computer and Information Summer 2014 : 29~32

This paper was written with support from the National Research Foundation of Korea.

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65