External factors such as author gender, author nationality, and date of publication affect both the choice of literary themes in novels and the expression of those themes, but the extent of this association is difficult to quantify. In this work, we apply statistical methods to identify and extract hundreds of topics from a corpus of 3,346 works of 19th-century British, Irish, and American fiction. We use these topics as a measurable, data-driven proxy for literary themes. External factors may predict fluctuations in the use of themes and the individual word choices within themes. We use topics to measure the evidence for these associations and whether that evidence is statistically significant
Literature is a form of expression whose temporal structure, both in content and style, provides a h...
International audienceThe way in which authors express themselves is unique but changes over their l...
We consider the task of predicting how literary a text is, with a gold standard from human ratings. ...
External factors such as author gender, author nationality, and date of publication affect both the ...
This report describes a collection of 210,305 volumes of fiction that researchers are encouraged to ...
The nineteenth century in Britain saw tumultuous changes that reshaped the fabric of society and alt...
Novelistic genres—such as gothic novels, epistolary novels, and Bildungsromane— were an abiding feat...
Despite the recent upswing of computational research on Victorian novels, it has largely overlooked ...
This dissertation provides the first comprehensive account of the phenomenon of the fictional noveli...
This study endeavors to apply computational methods to a large dataset of popular fictional material...
During the 19th century, gender politics played a crucial role in shaping the emergence of the novel...
A topic model of 29,341 volumes of fiction, written in English and published between 1880 and 1999. ...
Have portrayals of women in literature changed over time? The assumption was that the portrayals of ...
This contribution exemplifies a workflow for the quantitative operationalization and analysis of hi...
Recent developments in the polyhedric field of Digital Humanities offer a desirable perspective for ...
Literature is a form of expression whose temporal structure, both in content and style, provides a h...
International audienceThe way in which authors express themselves is unique but changes over their l...
We consider the task of predicting how literary a text is, with a gold standard from human ratings. ...
External factors such as author gender, author nationality, and date of publication affect both the ...
This report describes a collection of 210,305 volumes of fiction that researchers are encouraged to ...
The nineteenth century in Britain saw tumultuous changes that reshaped the fabric of society and alt...
Novelistic genres—such as gothic novels, epistolary novels, and Bildungsromane— were an abiding feat...
Despite the recent upswing of computational research on Victorian novels, it has largely overlooked ...
This dissertation provides the first comprehensive account of the phenomenon of the fictional noveli...
This study endeavors to apply computational methods to a large dataset of popular fictional material...
During the 19th century, gender politics played a crucial role in shaping the emergence of the novel...
A topic model of 29,341 volumes of fiction, written in English and published between 1880 and 1999. ...
Have portrayals of women in literature changed over time? The assumption was that the portrayals of ...
This contribution exemplifies a workflow for the quantitative operationalization and analysis of hi...
Recent developments in the polyhedric field of Digital Humanities offer a desirable perspective for ...
Literature is a form of expression whose temporal structure, both in content and style, provides a h...
International audienceThe way in which authors express themselves is unique but changes over their l...
We consider the task of predicting how literary a text is, with a gold standard from human ratings. ...