Skip to main content

Hidden Textual Themes: Into Shakespeare’s Mind

  • Chapter
  • First Online:
Computational Personality Analysis
  • 681 Accesses

Abstract

Computational tools may be used not only to help us in the task of classification but also as exploratory tools that may support the serendipity that necessarily accompanies an authentic scientific journey. In this chapter, I illustrate this point by showing how we can analyze analogies in Shakespeare’s sonnets.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Matte-Blanco, I. (2012). The unconscious as infinite sets: An essay in bi-logic. London, UK: Karnac Books.‏

    Google Scholar 

  • Murtagh, F. (2014). Mathematical representations of Matte Blanco’s bi-logic, based on metric space and ultrametric or hierarchical topology: Towards practical application. Language and Psychoanalysis, 32, 40–63.‏

    Google Scholar 

  • Murtagh, F. (2016, in preparation). Data science foundations: Geometry and topology of complex hierarchic systems and big data analytics. Boca Raton, FL: Chapman\& Hall/CRC Press.

    Google Scholar 

  • Neuman, Y. (2013). Shakespeare’s first sonnet: Reading through repetitions. Semiotica, 195, 119–126.‏

    Google Scholar 

  • Turney, P. D. (2013). Domain and function: A dual-space model of semantic relations and compositions. arXiv preprint arXiv:1309.4035.‏

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yair Neuman .

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Neuman, Y. (2016). Hidden Textual Themes: Into Shakespeare’s Mind. In: Computational Personality Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-42460-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-42460-6_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42458-3

  • Online ISBN: 978-3-319-42460-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics