https://openalex.org/T12380
This cluster of papers focuses on authorship attribution, stylometry, and user profiling in text, utilizing techniques such as text classification, machine learning, and forensic linguistics to analyze gender differences and language use in social media. The research aims to identify authors of anonymous texts, predict demographic attributes from online content, and study the linguistic uniqueness of individuals across different genres and languages.
@prefix oasubfields: <https://openalex.org/subfields/> .
@prefix openalex: <https://lambdamusic.github.io/openalex-hacks/ontology/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
<https://openalex.org/T12380> a skos:Concept ;
rdfs:label "Authorship Attribution and User Profiling in Text"@en ;
rdfs:isDefinedBy openalex: ;
owl:sameAs <https://en.wikipedia.org/wiki/Authorship_attribution>,
<https://openalex.org/T12380> ;
skos:broader oasubfields:1702 ;
skos:definition "This cluster of papers focuses on authorship attribution, stylometry, and user profiling in text, utilizing techniques such as text classification, machine learning, and forensic linguistics to analyze gender differences and language use in social media. The research aims to identify authors of anonymous texts, predict demographic attributes from online content, and study the linguistic uniqueness of individuals across different genres and languages."@en ;
skos:inScheme openalex: ;
skos:prefLabel "Authorship Attribution and User Profiling in Text"@en ;
openalex:cited_by_count 112891 ;
openalex:works_count 9463 .