The Key Factors and Their Influence in Authorship Attribution

Authorship attribution has a long history started since 19th
century. Existing studies have used different sets of stylometric features
and computational methodologies on a variety of corpus with different
lengths and genres. This study presents a protocol to perform a systematic
literature review (SLR) to identify the best combination of stylometric
features and computational methodology. Specifically, we formulate
an SLR protocol that can be used to conduct a literature survey to help
answer like (i) whether it is possible to identify the authorial style of
an author regardless the genre and length of the text, and (ii) how to
select specific stylometric features and computational methodology. We
also conduct an example of how the proposed SLR protocol can be used
as a template for publication extraction and filtering for an SLR on authorship
attribution.