Editing Computational semiotics (section)

== Computational methods for semiotics ==
This strand involves formalizing semiotic methods of analysis and implementing them as [[algorithm|algorithms]] on computers to process large digital data sets. These data sets are typically textual but semiotics opens the way for analysis of all manner of other data. Existing work provides methods for automated opposition analysis and generation of [[semiotic square|semiotic squares]];<ref>{{Cite journal|last1=Shackell|first1=Cameron|last2=Sitbon|first2=Laurianne|date=2020-01-29|title=Computational opposition analysis using word embeddings: A method for strategising resonant informal argument|journal=Argument & Computation|volume=10|issue=3|pages=301–317|doi=10.3233/AAC-190467|doi-access=free}}</ref> metaphor identification;<ref>{{Cite journal|date=2015|title=Opposition theory and computational semiotics|url=https://www.ceeol.com/search/article-detail?id=457805|journal=Σημειωτκή - Sign Systems Studies|language=English|volume=43|issue=2–3|pages=159–172|issn=1406-4243|doi=10.12697/SSS.2015.43.2-3.01|last1=Neuman|first1=Yair|last2=Danesi|first2=Marcel|last3=Cohen|first3=Yochai|last4=Assaf|first4=Dan|doi-access=free}}</ref> and image analysis.<ref>{{Cite journal|last1=Chartier|first1=Jean-François|last2=Pulizzotto|first2=Davide|last3=Chartrand|first3=Louis|last4=Meunier|first4=Jean-Guy|date=2019-10-25|title=A data-driven computational semiotics: The semantic vector space of Magritte's artworks|journal=Semiotica|volume=2019|issue=230|pages=19–69|doi=10.1515/sem-2018-0120|s2cid=203304655 |issn=0037-1998}}</ref> Shackell<ref>{{cite journal |last1=Shackell |first1=C. |title=Finite semiotics: Cognitive sets, semiotic vectors, and semiosic oscillation |journal=Semiotica |date=26 July 2019 |volume=2019 |issue=229 |pages=211–235 |doi=10.1515/sem-2017-0127|s2cid=67111370 |url=https://eprints.qut.edu.au/115293/1/Finite%20semiotics%20-%20cognitive%20sets%20semiotic%20vectors%20and%20semiosic%20oscillation.docx }}</ref> has suggested that a new field of Natural Semiotic Processing should emerge to extend [[natural language processing]] into areas such as [[persuasive technology]], [[marketing]] and [[brand]] analysis that have significant cultural or non-linguistic aspects. On the other side, Meunier argues that semiotics and computation are compatible and combining them provides more logical consistency in understanding forms of meaning.<ref>{{Cite book |last=Meunier |first=Jean Guy |title=Computational Semiotics |publisher=Bloomsbury Academic |year=2021 |isbn=9781350166622 |language=English}}</ref>