List of figures
Acknowledgements
Introduction
From distant reading to computational literary studies
Computational literary studies and literary theory
Outline of chapters
Conclusion
1. Literary historiography and computational text analysis
Literary historiography
Frequencies and trendlines
Towards cultural evolution
Conclusion
2. Stylistics and stylometry
Stylistics
Stylometry
The concept of style in stylistics and stylometry
Conclusion
3. Emotions in literature and sentiment analysis
Emotions in literature
Sentiment analysis
Literary studies and sentiment analysis
Conclusion
4. Thematic criticism and topic modeling
Thematic criticism
Topic modeling
Computational thematic criticism
Conclusion
5. Mapping literature
Literary studies in the wake of the “spatial turn”
The GIS technology
GIS in literary studies
Conclusion
6. Networking characters
Characters in literary studies
Social network analysis
Social networks and character studies
Conclusion
7. Intertextuality and text reuse detection
Intertextuality in literary studies
Text reuse detection and semantic similarity
Towards quantitative intertextuality
Conclusion
8. Artificial Intelligence and the challenge of interpretation
Hermeneutics and literary studies
Machine learning and (generative) artificial intelligence
Interpretation in computational literary studies
Conclusion
Conclusion: On modeling and interdisciplinarity
Index
Biography
Simone Rebora is Associate Professor of Comparative Literature at the University of Verona, Italy, with an interest in empirical and computational literary studies.
