@inproceedings{,
    author = {Höllig, Julian; Lee, Yeong Su; Seemann, Nina; Geierhos, Michaela},
    title = {Effective Detection of Hate Speech Spreaders on Twitter},
    editor = {Faggioli, Guglielmo; Ferro, Nicola; Joly, Alexis; Maistro, Maria; Piroi, Florina},
    booktitle = {Proceedings of the Working Notes of CLEF 2021 : Conference and Labs of the Evaluation Forum (CLEF 2021)},
    series = {CEUR Workshop Proceedings},
    journal = {},
    address = {},
    publisher = {},
    edition = {},
    year = {2021},
    isbn = {},
    volume = {2936},
    number =  {},
    pages = {1976-1986},
    url = {http://ceur-ws.org/Vol-2936/paper-171.pdf},
    doi = {},
    keywords = {Author profiling ; Hate speech ; Noun chunks},
    abstract = {In this paper, we summarize our participation in the task of “Profiling Hate Speech Spreaders on Twitter” at the PAN@CLEF Conference 2021. Our models obtained an average accuracy of 76% (79% for Spanish and 73% for English). For English, we used a Linear Support Vector Machine with tf-idf features on noun chunk level, while for Spanish we used a Ridge Classifier with simple counts on noun chunk level. Both classifiers were fed with additional features obtained from a Convolutional Neural Network.},
    note = {},
    institution = {Universität der Bundeswehr München, Fakultät für Informatik, INF 7 - Institut für Datensicherheit, Professur: Geierhos, Michaela},
    
    
}