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Detection and Fine-Grained Classification of Cyberbullying Events
A new scheme for cyberbullying annotation is developed and applied, which describes the presence and severity of cyberbullies, a post author's role (harasser, victim or bystander) and a number of fine-grained categories related to cyber Bullying, such as insults and threats.
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
This paper investigates the creation of high-precision patterns to identify self-reported diagnoses of nine different mental health conditions, and obtains high-quality labeled data without the need for manual labelling.
Automatic detection of cyberbullying in social media text
This paper describes the collection and fine-grained annotation of a cyberbullying corpus for English and Dutch and performs a series of binary classification experiments to determine the feasibility of automatic cyberbullies detection.
Automatic Detection and Prevention of Cyberbullying
This paper presents the construction and annotation of a corpus of Dutch social media posts annotated with fine-grained cyberbullying-related text categories, such as insults and threats, and describes the specific participants (harasser, victim or bystander) in a cyberbullies conversation to enhance the analysis of human interactions involving cyber Bullying.
Multimodular Text Normalization of Dutch User-Generated Content
This work investigates the usefulness of a multimodular approach to account for the diversity of normalization issues encountered in user-generated content (UGC) and provides a detailed analysis of the performance of the different modules and the overall system.
Fine-grained Dutch named entity recognition
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.
Emotion detection in suicide notes
Using the crowd for readability prediction
It is concluded that readability assessment by comparing texts is a polyvalent methodology, which can be adapted to specific domains and target audiences if required.
The good, the bad and the implicit: a comprehensive approach to annotating explicit and implicit sentiment
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