„Szerkesztő:R4b6it/próbalap” változatai közötti eltérés

Tartalom törölve Tartalom hozzáadva
R4b6it (vitalap | szerkesztései)
Nincs szerkesztési összefoglaló
R4b6it (vitalap | szerkesztései)
Nincs szerkesztési összefoglaló
35. sor:
Salvador, Bahia, Brazil. Swedish institute of computer science, 2005.</ref> Software systems such as Signature<ref>{{cite web|url=http://www.philocomp.net/humanities/signature.htm |title=The Signature Stylometric System |publisher=PhiloComp |accessdate=2014-01-03}}</ref> (freeware produced by Dr Peter Millican of Oxford University), JGAAP<ref>{{cite web|url=http://www.jgaap.com |title=JGAAP |publisher=JGAAP |date=2012-09-04 |accessdate=2012-10-15}}</ref> (the Java Graphical Authorship Attribution Program—freeware produced by Dr [[Patrick Juola]] of Duquesne University), stylo<ref name="styloR">{{cite web|url=https://sites.google.com/site/computationalstylistics/stylo |title=The stylo for R package |publisher= Computational Stylistics Group |date=2014-10-24 |accessdate=2014-10-24}}</ref><ref name="styloRlit">{{cite journal|author1=Eder, Maciej|author2=Rybicki, Jan|author3=Kestemont, Mike|year=2016|title=Stylometry with R: a package for computational text analysis|journal=R Journal|volume=8|issue=1|pp=107–121|url=https://journal.r-project.org/archive/2016-1/eder-rybicki-kestemont.pdf|doi=10.32614/RJ-2016-007}}</ref> (an open-source R package for a variety of stylometric analyses, including authorship attribution, developed by [[Maciej Eder]], [[Jan Rybicki]] and [[Mike Kestemont]]) and Stylene<ref>{{cite techreport |author1=Daelemans, Walter |author2=Hoste, Véronique |lastauthoramp=yes |url=http://stylene.be |title=STYLENE: an Environment for Stylometry and Readability Research for Dutch |publisher=CLiPS Technical Report Series |year=2013 |issn=2033-3544 |issue=4 }}</ref> for Dutch (online freeware by Prof [[Walter Daelemans]] of University of Antwerp and Dr Véronique Hoste of University of Ghent) make its use increasingly practicable, even for the non-expert.
 
==AcademicTudományos összejövetelek és események==
 
Stylometric methods are discussed in several academic fields, mostly as a tangential field of application as with machine learning, natural language processing, and lexicography.
104. sor:
One method for identifying style is called "rare pairs", and relies upon individual habits of [[collocation]]. The use of certain words may, for a particular author, idiosyncratically entail the use of other, predictable words.
 
==Szerzői azonosítás az azonalliazonnali üzenetküldésben==
The diffusion of Internet has shifted the authorship attribution attention towards online texts (web pages, blogs, etc.) electronic messages (e-mails, tweets, posts, etc.), and other types of written information that are far shorter than an average book, much less formal and more diverse in terms of expressive elements such as colors, layout, fonts, graphics, emoticons, etc. Efforts to take into account such aspects at the level of both structure and syntax were reported in.<ref>{{Cite journal|title = Mining e-Mail Content for Author Identification Forensics|journal = SIGMOD Rec.|date = 2001-12-01|issn = 0163-5808|pages = 55–64|volume = 30|issue = 4|doi = 10.1145/604264.604272|first = O.|last = de Vel|first2 = A.|last2 = Anderson|first3 = M.|last3 = Corney|first4 = G.|last4 = Mohay|citeseerx = 10.1.1.408.4231}}</ref> In addition, content-specific and idiosyncratic cues (e.g., topic models and grammar checking tools) were introduced to unveil deliberate stylistic choices.<ref>{{Cite journal|title = Automatically Profiling the Author of an Anonymous Text|journal = Commun. ACM|date = 2009-02-01|issn = 0001-0782|pages = 119–123|volume = 52|issue = 2|doi = 10.1145/1461928.1461959|first = Shlomo|last = Argamon|first2 = Moshe|last2 = Koppel|first3 = James W.|last3 = Pennebaker|first4 = Jonathan|last4 = Schler|citeseerx = 10.1.1.136.9952}}</ref>