Automatic Identification of Protagonist in Fairy Tales Using Verb

  • Hui-Ngo Goh
  • Lay-Ki Soon
  • Su-Cheng Haw
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7302)


Named entity recognition (NER) has been a well-studied problem in the area of text mining for locating atomic element into predefined categories, where “name of people” is one of the most commonly studied categories. Numerous new NER techniques have been unfolded to accommodate the needs of the application developed. However, most research works carried out focused on non-fiction domain. Fiction domain exhibits complexity and uncertainty in locating protagonist as it represents name of person in a diverse spectrums, ranging from living things (animals, plants, person) to non-living things (vehicle, furniture). This paper proposes automated protagonist identification in fiction domain, particularly in fairy tales. Verb has been used as a determinant in substantiating the existence of protagonist with the assistance of WordNet. The experimental results show that it is viable to use verb in identifying named entity, particularly “people” category and it can be applied in a small text size environment.


Named entity recognition characters fairy tales text mining 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Hui-Ngo Goh
    • 1
  • Lay-Ki Soon
    • 1
  • Su-Cheng Haw
    • 1
  1. 1.Faculty of Computing and InformaticsMultimedia University, Jalan MultimediaCyberjayaMalaysia

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