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Title
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Predicting adolescents' educational track from chat messages on Dutch social media
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Author
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Abstract
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| 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. |
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Language
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English
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Source (book)
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Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis / Balahur, Alexandra [edit.] ; et al.
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Publication
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Brussels
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Association for Computational Linguistics
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2018
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ISBN
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978-1-948087-80-3
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DOI
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10.18653/V1/P17
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Volume/pages
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(2018)
, p. 328-334
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Full text (Publisher's DOI)
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Full text (open access)
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