Computational authorship studies are an increasingly popular topic for research among specialists per both elaboratore science and the humanities
- June 17, 2022
- Posted by: artisanry
- Category: seekingarragement visitors
It can be considered verso form of style-based document authentication (Echtheitskritik), which has valuable applications that extend well beyond the domain of literary analysis, sicuro, for instance, the domain of forensic sciences. According sicuro Stamatatos’s 2009 survey of the field, ‘[t]he main intenzione behind statistically or computationally-supported authorship attribution is that by measuring some textual features we can distinguish between texts written by different authors.’22 22 E. Stamatatos, ‘A survey’ (n. 14, above) 538. This basic assumption implies that it should be possible onesto assess, for any new unseen document, whether or not it was written by other authors for whom we have texts available. Nowadays computational authorship studies are often considered verso subfield of stylometry durante the digital humanities, the broader computational study of the writing style of texts.23 23 D. Holmes, ‘The evolution of stylometry con humanities scholarship’, LLC 13 (1998) 111–17.
While stylometry has verso rich history, dating back to at least the nineteenth century, it is clear that it received its most important impetus only per the past two or three decades, stimulated by the rise of (personal) computing and the increased availability of large bodies of text con electronic form. Apart from the influential, yet more conventional, statistical analyses carried out by pioneers such as Mosteller and Wallace or John Burrows well before the 1990s, an influential approach con authorship studies has been puro approach the attribution of anonymous texts as a ‘text categorization’ problem.24 24 Mosteller and Wallace, Inference and disputed authorship (n. 4, above) and J. Burrows, Computation https://datingranking.net/it/seekingarrangement-review/ into criticism: a study of Jane Austen’s novels (Oxford 1987). Heavily influenced by parallel research durante calcolatore elettronico science, the pensiero was to optimize per statistical classifier on example texts by verso number of available candidate authors, much like verso spam filter nowadays is still trained on manually annotated emails to learn how onesto distinguish between ‘junk’ email and normal messages.25 25 F. Sebastiani, ‘Machine learning in automated text categorisation’, ACM Pc Surveys 34 (2002) 1–47. After allenamento such verso classifier on this example momento, the classifier could then be used esatto categorize or classify anonymous text as belonging puro one of the allenamento authors’ oeuvres.
It resembles per police lineup, per which the correct author of an anonymous text has to be singled out from verso series of available candidate authors for whom reference or ‘training’ material is available
This text categorization setup is commonly known as ‘authorship attribution’.26 26 The following paragraph heavily draws on M. Koppel and Y. Winter, ‘Determining if two documents are written by the same author’, JASIST 65 (2014) 178–187. For verso number of years, practitioners of stylometry have quale preciso acknowledge the limitations of authorship attribution, because it necessarily assumes that the correct target author is indeed included durante the attrezzi of candidates. Sopra many real-world cases, this problematic assumption cannot possibly be made, because the batteria of relevant candidates is difficult or impossible sicuro establish beforehand. Because of this, the setup of authorship verification has recently been introduced as verso new framework: here, the task is puro verify whether or not an anonymous document was written by one or several of per series of candidate authors. Sopra some sense, authorship verification redefines the text categorization problem by adding an additional category label: ‘None of the above.’
Con the present context, it should be emphasized that the problem posed by the HA is verso ‘vanilla’ example of per problem per authorship verification: while the campione indeed contains per number of (auto-) attributions, the veracity of all of these has been questioned per previous scholarship
Verification is hence an increasingly common experimental setup in authorship studies, and is the topic of verso dedicated track per the yearly PAN competition, an annual competition on finding computational solutions puro issues durante present-day textual forensics, mostly related preciso the detection of plagiarism, authorship, and communautaire software misuse (such as grooming or Wikipedia vandalism).27 27 The competition’s website is pan.webis.de. The most recent survey of an authorship verification track is: E. Stamatatos et al., ‘Overview of the author identification task at PAN 2015′ con Working Taccuino Papers of the CLEF 2015 Evaluation Labs, addirittura. L. Cappellato et al. (2015). Generally speaking, authorship verification is a more generic problem than authorship attribution – i.anche. every attribution problem could, sopra principle, be cast as a verification problem – but it has also proven puro be more challenging. Con our experiments, we have therefore attempted esatto radically minimize any assumptions on our part as sicuro the authorial provenance of the texts sopra the HA. For each piece of text analysed below, we propose onesto independently assess the probability that it was written by one of the (alleged) individual authors identified in the corpus.