David Kernot from the Australian National University talks with us about his research into using William Shakespeare’s texts for training an algorithm to uncover authors’ identities and personalities from their written words. His article “Using Shakespeare’s Sotto Voce to Determine True Identity From Text” was published in Frontiers in Psychology on March 15, 2018, co-authored with Terry Bossomaier and Roger Bradbury.
- David’s SciFi books on Amazon.
- Supplemental materials from the article.
- Complete works of William Shakespeare
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▲ Exclusion of stage directions from dataset
▲Natural Language Processing (NLP) to identify gender via sensory modalities
▲ Measuring depression via concreteness and imagery words
▲ Analyzing sensory adjectives to determine identity and mental state
▲ On Shakespeare’s coining of novel terms
▲ Change in personal pronouns changed over time
▲ Emotion word use is independent of mood of the story
▲ Depression among Lone Wolf school shooters and women returning from warzones
▲ Tuning RPAS by comparing the algorithm against extant datasets
Hosts / Producers
Ryan Watkins & Doug Leigh
How to Cite
Watkins, R., Leigh, D., & Kernot, D.. (2018, May 17). Parsing Science – Uncovering Uncertain Identities (Version 1). figshare. https://doi.org/10.6084/m9.figshare.6281486.v1
What’s The Angle? by Shane Ivers