Authorship Verification - An Approach based on Random Forest
Computation and Language
2016-08-01 v1
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.
Keywords
Cite
@article{arxiv.1607.08885,
title = {Authorship Verification - An Approach based on Random Forest},
author = {Promita Maitra and Souvick Ghosh and Dipankar Das},
journal= {arXiv preprint arXiv:1607.08885},
year = {2016}
}
Comments
9 pages in Working Notes Papers of the CLEF 2015