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Found 10 papers, 2 papers with code
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity
The detection of online cyberbullying has seen an increase in societal importance, popularity in research, and available open data.
Automatic Detection of Cyberbullying in Social Media Text
While social media offer great communication opportunities, they also increase the vulnerability of young people to threatening situations online.
Gender Profiling for Slovene Twitter communication: the Influence of Gender Marking, Content and Style
Inspired by the TwiSty corpus and experiments (Verhoeven et al., 2016), we employed the Janes corpus (Erjavec et al., 2016) and its gender annotations to perform gender classification experiments on Twitter text comparing a token-based and a lemma-based approach.
A Dictionary-based Approach to Racism Detection in Dutch Social Media
The best-performing model used the manually cleaned dictionary and obtained an F-score of 0. 46 for the racist class on a test set consisting of unseen Dutch comments, retrieved from the same sites used for the training set.
TwiSty: A Multilingual Twitter Stylometry Corpus for Gender and Personality Profiling
Personality profiling is the task of detecting personality traits of authors based on writing style.
CLiPS Stylometry Investigation (CSI) corpus: A Dutch corpus for the detection of age, gender, personality, sentiment and deception in text
We performed a supervised machine learning experiment using the SVM algorithm in a 10-fold cross-validation setup.
