Extracting Social Networks from Literary Fiction
David K. Elson,Nicholas Dames,Kathleen R. McKeown +2 more
- pp 138-147
TLDR
The method involves character name chunking, quoted speech attribution and conversation detection given the set of quotes, which provides evidence that the majority of novels in this time period do not fit two characterizations provided by literacy scholars.Abstract:
We present a method for extracting social networks from literature, namely, nineteenth-century British novels and serials. We derive the networks from dialogue interactions, and thus our method depends on the ability to determine when two characters are in conversation. Our approach involves character name chunking, quoted speech attribution and conversation detection given the set of quotes. We extract features from the social networks and examine their correlation with one another, as well as with metadata such as the novel's setting. Our results provide evidence that the majority of novels in this time period do not fit two characterizations provided by literacy scholars. Instead, our results suggest an alternative explanation for differences in social networks.read more
Citations
More filters
Journal ArticleDOI
Unsupervised cluster analyses of character networks in fiction: Community structure and centrality
TL;DR: An integrated approach to cluster and visualize character networks in fiction with the aid of computational and statistical methods is presented, finding that betweenness centrality, as a measure of characters’ control over the flow of the narrative, is differentiated from other centrality measures for Dream of the Red Chamber.
Journal ArticleDOI
The fictionality of topic modeling: Machine reading Anthony Trollope's Barsetshire series
TL;DR: The authors used unsupervised topic modeling (specifically the latent Dirichlet allocation topic modeling algorithm in MALLET) on relatively small corpuses to help scholars of literature circumvent the limitations of some existing theories of the novel using an example drawn from work on Victorian novelist Anthony Trollope's Barsetshire series.
Proceedings Article
From high heels to weed attics: a syntactic investigation of chick lit and literature
TL;DR: This paper characterize two prose genres syntactically: chick lit and high literature, and develops a top-down computational method based on existing literary-linguistic theory to obtain syntactic structures for a Dutch corpus of novels.
Report SeriesDOI
Visualizing and Analyzing Networks of Named Entities in Biographical Dictionaries for Digital Humanities Research
TL;DR: This paper shows how named entity extraction and network analysis can be used to examine biographies individually and in groups to aid historians in biographical and prosopographical research.
Journal ArticleDOI
Analysis of Adapted Films and Stories Based on Social Network
TL;DR: This work analyzes two distinguished novels, Nastanirh and Harry Potter and the Philosopher’s Stone, and their celebrated film versions as the case study to indicate how the successful filmmakers interpret the characters in their visual version.
References
More filters
Journal ArticleDOI
A Coefficient of agreement for nominal Scales
TL;DR: In this article, the authors present a procedure for having two or more judges independently categorize a sample of units and determine the degree, significance, and significance of the units. But they do not discuss the extent to which these judgments are reproducible, i.e., reliable.
Proceedings ArticleDOI
Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
TL;DR: By using simulated annealing in place of Viterbi decoding in sequence models such as HMMs, CMMs, and CRFs, it is possible to incorporate non-local structure while preserving tractable inference.
Book
The Country and the City
TL;DR: As a brilliant survey of English literature in terms of changing attitudes towards country and city, Williams' highly-acclaimed study reveals the shifting images and associations between these two traditional poles of life throughout the major developmental periods of English culture.
Proceedings Article
The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation
George R. Doddington,Alexis Mitchell,Mark A. Przybocki,Lance Ramshaw,Stephanie Strassel,Ralph Weischedel +5 more
TL;DR: The objective of the ACE program is to develop technology to automatically infer from human language data the entities being mentioned, the relations among these entities that are directly expressed, and the events in which these entities participate.
Book
Graphs, Maps, Trees: Abstract Models for a Literary History
TL;DR: MoreMoretti as discussed by the authors argues that literature scholars should stop reading books and start counting, graphing, and mapping them instead, and offers charts, maps and time lines, developing the idea of "distant reading" into a full-blown experiment in literary history.