The idiolect R package is designed to provide a comprehensive suite of
tools for performing comparative authorship analysis within a forensic
context using the Likelihood Ratio Framework (e.g. Ishihara 2021; Nini
2023). The package contains a set of authorship analysis functions that
take a set of texts as input and output scores that can then be
calibrated into likelihood ratios. The package is dependent on
quanteda (Benoit et al. 2018) for all Natural
Language Processing functions.
You can install idiolect from CRAN:
install.packages("idiolect")The main functions contained in the package reflect the typical workflow for authorship analysis for forensic problems:
-
Input data using
create_corpus(); -
Optionally mask the content/topic of the texts using
contentmask(); -
Launch an analysis (e.g.
delta(),ngram_tracing(),impostors()); -
Test the performance of the method on ground truth data using
performance(); -
Finally, apply the method to the questioned text and generate a likelihood ratio with
calibrate_LLR().
Check the website and the vignette for examples.
Benoit, Kenneth, Kohei Watanabe, Haiyan Wang, Paul Nulty, Adam Obeng, Stefan Müller, and Akitaka Matsuo. 2018. “Quanteda: An r Package for the Quantitative Analysis of Textual Data.” Journal of Open Source Software 3 (30). https://doi.org/10.21105/joss.00774.
Ishihara, Shunichi. 2021. “Score-Based Likelihood Ratios for Linguistic Text Evidence with a Bag-of-Words Model.” Forensic Science International 327: 110980. https://doi.org/10.1016/j.forsciint.2021.110980.
Nini, Andrea. 2023. A Theory of Linguistic Individuality for Authorship Analysis. Elements in Forensic Linguistics. Cambridge, UK: Cambridge University Press.