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Movie stories can be retrieved efficiently by analyzing a script, which is a blueprint of the movie. Although the movie script is described in the formatted structure of Final Draft, it is hard to restore the type without analyzing the story of the sentences since the scripts open on the website are mostly broken. For this purpose, it is necessary to develop and provide the web-based script analysis software so that users collaboratively and freely check and correct the errors in the ∙1 :  ∙ :  ∙ : 2014. 8. 19,  : 2014. 8. 25,  : 2014. 9. 3. *  (Institute of Media Content, Dankook University) **  (Dankook University) ***  (Dept. of Multimedia, Kimpo University) ※   2014  50   (“  Cinemetrics     [14]”)   94 Journal of The Korea Society of Computer and Information September 2014 results after automatically parsing the script. Hence, in this paper we suggest the structure of the web-based collaborative script analysis platform that enables users to modify and filter the type error of the script for high level of film data accumulation and performance evaluation for the implementation results is conducted. Through the experiment, accuracy of automatically parsing appears to be 64.95% and performance of modification by collaboration showed 99.58% of accuracy of parsing with errors mostly corrected after passing through 5 steps of modification. ▸

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