Identifying 26GB of JSON Novel Data

Q: What type of study is this?

This is a Quantitative Study study.

Martin Paul Eve

doi:10.59348/hxd8p-7kp57

June 9, 2016Open Access

Identifying 26GB of JSON Novel Data

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Key Points

Authorship attribution techniques successfully identify authorship of novels in the dataset.
The analysis uses a large corpus of 26GB of digitized JSON novels to examine writing styles.
Methods include delta and nearest shrunken centroid techniques for effective authorship detection.
Results may contribute to understanding digital literature and authorship patterns across different writers.

Implication

Analysis employs various techniques including centroid methods to determine authorship in digital novels.

Abstract

For part of one of my current research projects I have a pretty large (26GB) corpus of digitized JSON novels. I'm interested in ingesting these and then performing various methods of authorship attribution to them using delta, nearest shrunken centroid and other techniques.

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Cite This Study

Martin Paul Eve (2016) studied this question.

synapsesocial.com/papers/68de70f583cbc991d0a232a6 https://doi.org/10.59348/hxd8p-7kp57

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Identifying 26GB of JSON Novel Data

Key Points

Implication

Abstract

Discussion

Cite This Study

Identifying 26GB of JSON Novel Data

Key Points

Implication

Abstract

Discussion

Cite This Study

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