@inproceedings{5a5d0d0680f1452fa223a561d9fe34df,
title = "Towards a model for replicating aesthetic literary appreciation",
abstract = "This study aims to bridge the gap between subjective literary criticism and natural language processing by creating a model that emulates the results of a survey into literary tastes. A panel of human experts qualified segments of literary text according to how aesthetically pleasing they found them. These segments were then rated for literariness in an open survey using a Likert scale. Each segment was subjected to a parts-of-speech tagger using NLTK and the results compared with those of the survey. Using a Grounded Theory approach, experiments using various combinations of parts-of-speech were carried out in order to build a model that could replicate the results shown in the open survey. The success of this approach confirms the feasibility of using this method to create a more accurate and analytical model of literary criticism involving deeper stylistic markers.",
keywords = "Literary modeler, NLP, Stylistics",
author = "Tess Crosbie and Tim French and Marc Conrad",
year = "2013",
month = jun,
day = "23",
doi = "10.1145/2484712.2484720",
language = "English",
isbn = "9781450321945",
series = "Proceedings of the 5th Workshop on Semantic Web Information Management, SWIM 2013",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the 5th Workshop on Semantic Web Information Management, SWIM 2013",
address = "United States",
note = "5th International Workshop on Semantic Web Information Management, SWIM 2013 ; Conference date: 23-06-2013 Through 23-06-2013",
}