How to Distinguish a Kidney Theft from a Death Car? Experiments in Clustering Urban-Legend Texts
نویسندگان
چکیده
This paper discusses a system for automatic clustering of urban-legend texts. Urban legend (UL) is a short story set in the present day, believed by its tellers to be true and spreading spontaneously from person to person. A corpus of Polish UL texts was collected from message boards and blogs. Each text was manually assigned to one story type. The aim of the presented system is to reconstruct the manual grouping of texts. It turned out that automatic clustering of UL texts is feasible but it requires techniques different from the ones used for clustering e.g. news articles.
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