Applying authorship analysis to extremist-group Web forum messages

By Ahmed Ali Abbasi, Hsinchun Chen. IEEE Intelligent Systems, 2005

445 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/06a027b77783fd085871402c12bce80a6fdb5a6d

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Citations in the corpus

A survey of modern authorship attribution methods (2009, methodology): “Various sets of function words have been used for English but limited information was provided about the way they have been selected: Abbasi and Chen (2005) reported a set of 150 function words; Argamon, Saric, and Stein (2003) used a set of 303 words; Zhao and Zobel (2005) used a set of 365 functio”
Computational methods in authorship attribution (2009, unknown): “…(Kjell 1994a; Hoorn et al. 1999; Peng et al 2004), rule learners (Holmes & Forsyth 1995; Holmes 1998; Argamon et al. 1998; Koppel & Schler 2003; Abbasi & Chen 2005; Zheng et al. 2006), support vector machines (De Vel et al. 2001; Diederich et al. 2003; Koppel & Schler 2003, Abbasi & Chen 2005;…”
On the Relevance of Syntactic and Discourse Features for Author Profiling and Identification (2017, background): “When syntactic features are mentioned, often function words and punctuation marks are meant; see e.g. ( Amuchi et al., 2012; Abbasi and Chen, 2005; Cheng et al., 2009).”
Comparative study on methods of detecting research fronts using different types of citation (2009, methodology): “Various sets of function words have been used for English but limited information was provided about the way they have been selected: Abbasi and Chen (2005) reported a set of 150 function words; Argamon, Saric, and Stein (2003) used a set of 303 words; Zhao and Zobel (2005) used a set of 365 functio”
Syntactic N-grams as machine learning features for natural language processing (2014, background): “) revealed practical applications of authorship attribution usually associated with forensic tasks [13].”
Function Words for Chinese Authorship Attribution (2012, background): “The literature review for this study found several examples of FWAA in Modern Greek (Mikros and Argiri, 2003) and Arabic (Abbasi and Chen, 2005).”
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums (2008, methodology): “While it is unclear whether stylistic features are effective sentiment discriminators for movie/product reviews, style markers have been shown highly prevalent in Web discourse [Abbasi and Chen 2005; Zheng et al. 2006; Schler et al. 2006].”
Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace (2008, methodology): “For instance, the use of feature sets containing lexical, syntactic, structural, and syntactic features has been shown more effective for online identi.cation than feature sets containing only a subset of these feature groups [Abbasi and Chen 2005; Zheng et al. 2006].”