JCLS | Journal of Computational Literary Studies

The Journal of Computational Literary Studies (JCLS) is an international, open access, peer-reviewed online journal dedicated to all aspects of computational approaches to Literary Studies. JCLS responds to the increasing differentiation of subfields within the Digital Humanities, an ongoing process in which Computational Literary Studies has already gained considerable maturity and visibility.
 
JCLS provides a publishing platform for work on the development, the application, and the critique of computational approaches to Literary Studies. The journal seeks to expand the spectrum of computational methods for the analysis of literary texts and their (cultural, social, historical, performative) contexts with innovative methods appropriate to the subject. It provides a forum to address issues such as building literary corpora, identifying peculiarities of literary texts, domain adaptation of methods, operationalization of concepts, annotation of texts, evaluation of measures, interpretability and transparency of results, and reproducibility of research. JCLS also acknowledges the debatability of the core concepts of Computational Literary Studies, computationality and literarity, and encourages submissions addressing these from historical, cultural and other perspectives.

Please note the Call for Papers.

Volume 1 • Issue 1 • 2022

Article


‘This book makes me happy and sad and I love it’. A Rule-based Model for Extracting Reading Impact from English Book Reviews

‘This book makes me happy and sad and I love it’. A Rule-based Model for Extracting Reading Impact from English Book Reviews

Marijn Koolen, Julia Neugarten and Peter Boot

2022-11-24 Volume 1 • Issue 1 • 2022

Topic Modeling for the Identification of Gender-specific Knowledge. Virtues and Vices in French and Spanish 18th Century Periodicals

Topic Modeling for the Identification of Gender-specific Knowledge. Virtues and Vices in French and Spanish 18th Century Periodicals

Yvonne Völkl, Sanja Sarić and Martina Scholger

2022-11-24 Volume 1 • Issue 1 • 2022

Evaluation of Measures of Distinctiveness. Classification of Literary Texts on the Basis of Distinctive Words

Evaluation of Measures of Distinctiveness. Classification of Literary Texts on the Basis of Distinctive Words

Keli Du, Julia Dudar and Christof Schöch

2022-11-30 Volume 1 • Issue 1 • 2022

Modeling and Predicting Literary Reception. A Data-Rich Approach to Literary Historical Reception

Modeling and Predicting Literary Reception. A Data-Rich Approach to Literary Historical Reception

Judith Brottrager, Annina Stahl, Arda Arslan, Ulrik Brandes and Thomas Weitin

2022-11-24 Volume 1 • Issue 1 • 2022

Towards an Event Based Plot Model. A Computational Narratology Approach

Towards an Event Based Plot Model. A Computational Narratology Approach

Evelyn Gius and Michael Vauth

2022-11-29 Volume 1 • Issue 1 • 2022

Who Knows What in German Drama? A Composite Annotation Scheme for Knowledge Transfer. Annotation, Evaluation, and Analysis

Who Knows What in German Drama? A Composite Annotation Scheme for Knowledge Transfer. Annotation, Evaluation, and Analysis

Melanie Andresen, Benjamin Krautter, Janis Pagel and Nils Reiter

2022-12-01 Volume 1 • Issue 1 • 2022