Claudia Peersman

Publications
Influence

Predicting age and gender in online social networks

Claudia Peersman, W. Daelemans, L. V. Vaerenbergh
Computer Science
SMUC '11
28 October 2011

This paper presents an exploratory study in which we apply a text categorization approach for the prediction of age and gender on a corpus of chat texts, which we collected from the Belgian social networking site Netlog. Expand

iCOP: Automatically Identifying New Child Abuse Media in P2P Networks

Claudia Peersman, C. Schulze, A. Rashid, Margaret Brennan, C. Fischer
Computer Science
IEEE Security and Privacy Workshops
17 May 2014

The increasing levels of child sex abuse (CSA) media being shared in peer-to-peer (P2P) networks pose a significant challenge for law enforcement agencies. Expand

Conversation Level Constraints on Pedophile Detection in Chat Rooms

Claudia Peersman, Frederik Vaassen, V. V. Asch, W. Daelemans
Computer Science
CLEF
2012

In this paper we present a new approach for detecting online pedophiles in chat rooms that combines the results of predictions on the level of the individual post, the levels of the user and thelevel of the entire conversation, and describe the results in the PAN 2012 competition. Expand

Fine-Grained Emotion Detection in Suicide Notes: A Thresholding Approach to Multi-Label Classification

K. Luyckx, Frederik Vaassen, Claudia Peersman, W. Daelemans
Computer Science, Medicine
Biomedical informatics insights
1 January 2012

We present a system to automatically identify emotion-carrying sentences in suicide notes and to detect the specific fine-grained emotion conveyed. Expand

iCOP: Live forensics to reveal previously unknown criminal media on P2P networks

Claudia Peersman, C. Schulze, A. Rashid, Margaret Brennan, C. Fischer
Computer Science
Digit. Investig.
1 September 2016

iCOP: Live forensics to reveal previously unknown criminal media on P2P networks journaltitle: Digital Investigation articlelink: http://dx.doi.org/10.1016/j.diin.2016.07.002 content_type: article copyright: © 2016 The Authors. Expand

The Effects of Age, Gender and Region on Non-standard Linguistic Variation in Online Social Networks

Claudia Peersman, W. Daelemans, R. Vandekerckhove, B. Vandekerckhove, L. V. Vaerenbergh
Computer Science
ArXiv
11 January 2016

We present a corpus-based analysis of the effects of age, gender and region of origin on the production of both "netspeak" or "chatspeak" features and regional speech features in Flemish Dutch posts that were collected from a Belgian online social network platform. Expand

Detecting deceptive behaviour in the wild:text mining for online child protection in the presence of noisy and adversarial social media communications

Claudia Peersman
Computer Science
2018

A real-life application of text mining research “in the wild”, i.e. in online social media, differs from more general applications in that its defining characteristics are both domain and process dependent. Expand

Scoping the Cyber Security Body of Knowledge

A. Rashid, G. Danezis, +4 authors Claudia Peersman
Computer Science
IEEE Security & Privacy
1 May 2018

Cybersecurity is becoming an important element in curricula at all education levels. Expand

The Netlog Corpus. A Resource for the Study of Flemish Dutch Internet Language

M. Kestemont, Claudia Peersman, +6 authors W. Daelemans
Computer Science
LREC
2012

We present a large corpus of Flemish Dutch chat posts that were collected from the Belgian online social network Netlog. Expand

Automatically Dismantling Online Dating Fraud

Guillermo Suarez-Tangil, M. Edwards, Claudia Peersman, G. Stringhini, A. Rashid, M. Whitty
Computer Science
IEEE Transactions on Information Forensics and…
29 May 2019

We develop a system to detect romance scammers on online dating platforms. Expand

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