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A Recognition Method for Main Characters Name in Korean Novels
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 Title & Authors
A Recognition Method for Main Characters Name in Korean Novels
Kim, Seo-Hee; Park, Tae-Keun; Kim, Seung-Hoon;
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The main characters play leading roles in novels. In the previous studies, they recognize the main characters in a novel mainly based on dictionaries that built beforehand. In English, names begin with upper cases and are used with some words. In this paper, we propose a recognition method for main characters name in Korean novels by using predicates, rules and weights. We first recognize candidates for the characters name by predicates and propose some rules to exclude candidates that cannot be characters. We assign importances for candidates, considering weights that given by the number of candidates appeared in a sentence. Finally, if the importance of the character is more than a threshold, we decide that the character is one of main characters. The results from the experiments for 300 novels show that an average accuracy is 85.97%. The main characters name may be used to grasp relationships among characters, character`s action and tendency.
Data Mining;Korean Linguistic Feature;Korean Novels;Main Characters;Text Mining;
 Cited by
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