The affects of demographics differentiations on authorship identification

H. Mohtasseb, A. Ahmed

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)


There is lots of previous studies concern the language difference in text regarding the demographics attribute. This investigation is different by presenting a new question: is male style more consistent than female or the opposite? Furthermore, we study the style differentiation according to age. Hence, this investigation presents a novel analysis of the proposed problem by applying authorship identification across each category and comparing the identification accuracy between them. We select personal blogs or diaries, which are different from other types of text such as essays, emails, or articles based on the text properties. The investigation utilizes couple of intuitive feature sets and studies various parameters that affect the identification performance. The results and evaluation show that the utilized features are compact while their performance is highly comparable with other larger feature sets. The analysis also confirmed the usefulness of the common users’ classifier, based on common demographics attributes, in improving the performance for the author identification task.
Original languageEnglish
Title of host publicationElectronic Engineering and Computing Technology
ISBN (Electronic)978-90-481-8776-8
Publication statusPublished - 1 Jan 2010

Publication series

NameLecture Notes in Electrical Engineering

Research Centres

  • Data and Complex Systems Research Centre
  • Data Science STEM Research Centre


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