Comparing Sentence-Level Features for Authorship Analysis in Portuguese

In this paper we compare the robustness of several types of stylistic markers to help discriminate authorship at sentence level. We train a SVM-based classifier using each set of features separately and perform sentence-level authorship analysis over corpus of editorials published in a Portuguese quality newspaper. Results show that features based on POS information, punctuation and word / sentence length contribute to a more robust sentence-level authorship analysis.

• Type: Conference
• Year: 2010
• Where: PROPOR
• Authors: Rui Sousa-Silva, Luís Sarmento, Tim Grant, Eugénio C. Oliveira, Belinda Maia
• Keywords: Languages, PROPOR 2010, Robust Sentence-level Authorship, Sentence Level, Sentence-level Authorship Analysis