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Semantics in storytelling in Swedish fiction

Published: 19 May 2014 Publication History

Abstract

In this paper, we aim to define foundations and research questions for future large scale exploration of various types of semantic relationships in literature, namely Swedish prose fiction. More specifically, we are interested to get an in-depth understanding of storytelling in Swedish fiction by analyzing and mining the narrative discourse in a small sample of such data, focusing on interpersonal relationships and answering various questions such as how to recognize and assess gender patterns. Our intention is to apply our findings into a much larger scale in the near future in order to obtain useful insights about the social relations, structures, behavior and everyday life of characters found in literary works, thus enhancing the use of prose fiction as a source for research within the humanities and social sciences. Our work is inspired by the notions of distant reading and macroanalysis, a relatively new and often contested paradigm of literary research. In order to achieve our goal we strive for a combination of natural language processing techniques and simple visualizations that allow the user to rapidly focus on key areas of interest and provide the ability to discover latent semantic patterns and structures.

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Cited By

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  • (2023)Tuning Out the Noise: Benchmarking Entity Extraction for Digitized Native American LiteratureProceedings of the Association for Information Science and Technology10.1002/pra2.83960:1(681-685)Online publication date: 22-Oct-2023

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Published In

cover image ACM Other conferences
DATeCH '14: Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage
May 2014
200 pages
ISBN:9781450325882
DOI:10.1145/2595188
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • Succeed: The Support Action Centre of Competence in Digitisation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 May 2014

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Author Tags

  1. gender
  2. interpersonal relationships
  3. named entity recognition
  4. prose fiction
  5. social relationships
  6. text mining

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  • Research-article

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DATeCH 2014
Sponsor:
  • Succeed

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DATeCH '14 Paper Acceptance Rate 31 of 49 submissions, 63%;
Overall Acceptance Rate 60 of 86 submissions, 70%

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View all
  • (2023)Tuning Out the Noise: Benchmarking Entity Extraction for Digitized Native American LiteratureProceedings of the Association for Information Science and Technology10.1002/pra2.83960:1(681-685)Online publication date: 22-Oct-2023

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