Gender-Preferential Text Mining of E-mail Discourse

Authors:
Malcolm Corney;Olivier de Vel;Alison Anderson;George Mohay
Affiliations:
-;-;-;-
Venue:
ACSAC '02 Proceedings of the 18th Annual Computer Security Applications Conference
Year:
2002

Citing 0
Cited 20

The myth of the double-blind review?: author identification using only citations

ACM SIGKDD Explorations Newsletter
Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace

ACM Transactions on Information Systems (TOIS)
Authorship attribution

Foundations and Trends in Information Retrieval
Rule generation to determine the gender of a speaker of a Japanese sentence

SMO'08 Proceedings of the 8th conference on Simulation, modelling and optimization
Generating a set of rules to determine the gender of a speaker of a Japanese sentence

WSEAS TRANSACTIONS on COMMUNICATIONS
Learning Age and Gender of Blogger from Stylistic Variation

PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
e-mail authorship verification for forensic investigation

Proceedings of the 2010 ACM Symposium on Applied Computing
Improving gender classification of blog authors

EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Learning age and gender using co-occurrence of non-dictionary words from stylistic variations

RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Applying biometric principles to avatar recognition

Transactions on computational science XII
Tracking sentiment in mail: how genders differ on emotional axes

WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
Modeling of stylistic variation in social media with stretchy patterns

DIALECTS '11 Proceedings of the First Workshop on Algorithms and Resources for Modelling of Dialects and Language Varieties
E-mail worm detection using the analysis of behavior

ICDCIT'05 Proceedings of the Second international conference on Distributed Computing and Internet Technology
A novel approach of mining write-prints for authorship attribution in e-mail forensics

Digital Investigation: The International Journal of Digital Forensics & Incident Response
Towards an integrated e-mail forensic analysis framework

Digital Investigation: The International Journal of Digital Forensics & Incident Response
Mining writeprints from anonymous e-mails for forensic investigation

Digital Investigation: The International Journal of Digital Forensics & Incident Response
From once upon a time to happily ever after: Tracking emotions in mail and books

Decision Support Systems
A unified data mining solution for authorship analysis in anonymous textual communications

Information Sciences: an International Journal
Simplified features for email authorship identification

International Journal of Security and Networks
What makes a good biography?: multidimensional quality analysis based on wikipedia article feedback data

Proceedings of the 23rd international conference on World wide web

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes an investigation of authorship genderattribution mining from e-mail text documents. We usedan extended set of predominantly topic content-free e-maildocument features such as style markers, structural characteristicsand gender-preferential language features togetherwith a Support Vector Machine learning algorithm. Experimentsusing a corpus of e-mail documents generated by alarge number of authors of both genders gave promising resultsfor author gender categorisation.