Publication
Title
Predicting adolescents' educational track from chat messages on Dutch social media
Author
Abstract
We aim to predict Flemish adolescents educational track based on their Dutch social media writing. We distinguish between the three main types of Belgian secondary education: General (theory-oriented), Vocational (practice-oriented), and Technical Secondary Education (hybrid). The best results are obtained with a Naive Bayes model, i.e. an Fscore of 0.68 (std. dev. 0.05) in 10-fold crossvalidation experiments on the training data and an F-score of 0.60 on unseen data. Many of the most informative features are character ngrams containing specific occurrences of chatspeak phenomena such as emoticons. While the detection of the most theory- and practiceoriented educational tracks seems to be a relatively easy task, the hybrid Technical level appears to be much harder to capture based on online writing style, as expected.
Language
English
Source (book)
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis / Balahur, Alexandra [edit.] ; et al.
Publication
Brussels : Association for Computational Linguistics , 2018
ISBN
978-1-948087-80-3
DOI
10.18653/V1/P17
Volume/pages
(2018) , p. 328-334
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 17.01.2019
Last edited 07.10.2022
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