D3.2: Survey of Methods

Survey Grid

This survey documents current, widespread practices in research areas or issues that are prominent within CLS. 

Click on a heading below to read an overview of terms and literature. 

(EMPTY)
General Remarks (no link)
Corpus Building
Data Analysis
Evaluation
General Remarks (no link)
Introduction to Corpus Building
Introduction to Preprocessing and Annotation
Introduction to Data Analysis
Introduction to Evaluation
Authorship Attribution
What is Authorship Attribution?
Corpus Building for Authorship Attribution
Annotation for Authorship Attribution
Analysis in Authorship Attribution
Evaluation in Authorship Attribution
Genre Analysis
What is Genre Analysis?
Corpus Building for Genre Analysis
Annotation for Genre Analysis
Data Analysis for Genre
Evaluation in Genre Analysis
Literary History
What is Literary History?
Corpus Building for Literary History
Annotation for Literary History
Analysis in Literary History
Evaluation in Literary History
Gender
What is Gender Analysis?
Corpus Building for Gender Analysis
Annotation for Gender Analysis
Analysis for Gender
Evaluation for Gender Analysis
Canonicity / Prestige
What is Canonicity?
Annotation for Canonicity
Analysis of Canonicity

Additional resources:

Full PDF
Front Matter
References
Post Scriptum

Citation suggestion

Each section of the Survey includes a citation suggestion relevant to that section. To cite the whole:

Christof Schöch, Julia Dudar, Evegniia Fileva, eds. (2023). Survey of Methods in Computational Literary Studies (= CLS INFRA D3.2: Series of Five Short Survey Papers on Methodological Issues). With contributions by Joanna Byszuk, Julia Dudar, Evegniia Fileva, Andressa Gomide, Lisanne van Rossum, Christof Schöch, Artjoms Šeļa and Karina van Dalen-Oskam. Version 1.1.0, May 5, 2023. Trier: CLS INFRA. URL: https://methods.clsinfra.io, DOI: 10.5281/zenodo.7892112.

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