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Journal Article

Citation

Nikiforos S, Tzanavaris S, Kermanidis KL. Adv. Exp. Med. Biol. 2017; 989: 211-216.

Affiliation

Department of Informatics, Ionian University, Corfu, Greece.

Copyright

(Copyright © 2017, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/978-3-319-57348-9_18

PMID

28971429

Abstract

Bullying through the internet has been investigated and analyzed mainly in the field of social media. In this paper, it is attempted to analyze bullying in the Virtual Learning Communities using Natural Language Processing (NLP) techniques, mainly in the context of sociocultural learning theories. Therefore four case studies took place. We aim to apply NLP techniques to speech analysis on communication data of online communities. Emphasis is given on qualitative data, taking into account the subjectivity of the collaborative activity. Finally, this is the first time such type of analysis is attempted on Greek data.


Language: en

Keywords

Bullying; Natural Language Processing; Sociocultural Learning Theories; Virtual Learning Communities

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