Authorship Verification - An Approach based on Random Forest

Promita Maitra; Souvick Ghosh; Dipankar Das

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arXiv · 1607.08885

Authorship Verification - An Approach based on Random Forest

Promita Maitra·Souvick Ghosh·Dipankar Das

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Abstract

Authorship attribution, being an important problem in many areas in-cluding information retrieval, computational linguistics, law and journalism etc., has been identified as a subject of increasingly research interest in the re-cent years. In case of Author Identification task in PAN at CLEF 2015, the main focus was given on cross-genre and cross-topic author verification tasks. We have used several word-based and style-based features to identify the dif-ferences between the known and unknown problems of one given set and label the unknown ones accordingly using a Random Forest based classifier.

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Promita Maitra, Souvick Ghosh, Dipankar Das. 2016-07-29. Authorship Verification - An Approach based on Random Forest. https://arxiv.org/abs/1607.08885

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