• Publications
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Detection and Fine-Grained Classification of Cyberbullying Events
TLDR
In the current era of online interactions, both positive and negative experiences are abundant on the Web. Expand
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Automatic detection of cyberbullying in social media text
TLDR
Automatic detection of cyberbullying in social media text by modelling posts written by bullies, victims, and bystanders of online bullying. Expand
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Multimodular Text Normalization of Dutch User-Generated Content
TLDR
We propose a multimodular approach to account for the diversity of normalization issues encountered in user-generated content (UGC). Expand
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SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
TLDR
We introduce the SMHD (Self-reported Mental Health Diagnoses) dataset, a large dataset of social media posts from users with one or multiple mental health conditions along with matched control users. Expand
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Fine-grained Dutch named entity recognition
TLDR
This paper describes the creation of a fine-grained named entity annotation scheme and corpus for Dutch, and experiments on automatic main type and subtype named entity recognition. Expand
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The good, the bad and the implicit: a comprehensive approach to annotating explicit and implicit sentiment
TLDR
We present a fine-grained scheme for the annotation of polar sentiment in text, that accounts for explicit sentiment (so-called private states), as well as implicit expressions of sentiment (polar facts). Expand
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Dutch named entity recognition using classifier ensembles
TLDR
We describe a system that uses genetic algorithms to construct the best ensemble from a set of classifiers, based on the approach proposed in [3]. Expand
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Using the crowd for readability prediction
TLDR
We evaluate two different methodologies to assess the readability of a wide variety of text material: A more traditional setup in which expert readers make readability judgments and a crowdsourcing setup for users who are not necessarily experts. Expand
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Emotion detection in suicide notes
TLDR
We investigate whether the recent advances in natural language processing, and more specifically in sentiment mining, can be used to accurately pinpoint 15 different emotions, which might be indicative of suicidal behavior. Expand
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Automatic Detection and Prevention of Cyberbullying
The recent development of social media poses new challenges to the research community in analyzing online interactions between people. Social networking sites offer great opportunities for connectingExpand
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