Comparing sentence-level features for authorship analysis in Portuguese

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6001 LNAI, Issue , 2010, Pages 51-54

  Sousa Silva, Rui ^a,b   Sarmento, Luís ^b   Grant, Tim ^a   Oliveira, Eugénio ^b   Maia, Belinda ^b  

^a ASTON UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

AUTHORSHIP ANALYSIS; SENTENCE LENGTH; SENTENCE LEVEL; SVM-BASED CLASSIFIERS;

EID: 78650257512     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12320-7_7     Document Type: Conference Paper

References (4)

1. Eagleson, R.: Forensic analysis of personal written texts: a case study. In: Gibbons, J. (ed.) Forensic Linguistics: An Introduction to Language in the Justice System, pp. 362-373. Longman, Harlow (1994).
2. Grant, T.: Quantifying evidence in forensic authorship analysis. The International Journal of Speech, Language and the Law 14(1), 1-25 (2007).
3. Hirst, G., Feiguina, O.: Bigrams of syntactic labels for authorship discrimination of short texts. Lit Linguist Computing 22(4), 405-417 (2007).
4. Joachims, T.: Text categorization with support vector machines: learning with many relevant features. In: Ńedellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398, pp. 137-142. Springer, Heidelberg (1998).