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@article{Weninger:2013:10.4018/jdet.2013040106,
author = {Weninger, F and Staudt, P and Schuller, B},
doi = {10.4018/jdet.2013040106},
journal = {International Journal of Distance Education Technologies},
pages = {110--123},
title = {Words that fascinate the listener: Predicting affective ratings of on-line lectures},
url = {http://dx.doi.org/10.4018/jdet.2013040106},
volume = {11},
year = {2013}
}

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TY  - JOUR
AB  - In a large scale study on 843 transcripts of Technology, Entertainment and Design (TED) talks, the authors address the relation between word usage and categorical affective ratings of lectures by a large group of internet users. Users rated the lectures by assigning one or more predefined tags which relate to the affective state evoked in the audience (e. g., 'fascinating', 'funny', 'courageous', 'unconvincing' or 'long-winded'). By automatic classification experiments, they demonstrate the usefulness of linguistic features for predicting these subjective ratings. Extensive test runs are conducted to assess the influence of the classifier and feature selection, and individual linguistic features are evaluated with respect to their discriminative power. In the result, classification whether the frequency of a given tag is higher than on average can be performed most robustly for tags associated with positive valence, reaching up to 80.7% accuracy on unseen test data. Copyright © 2013, IGI Global.
AU  - Weninger,F
AU  - Staudt,P
AU  - Schuller,B
DO  - 10.4018/jdet.2013040106
EP  - 123
PY  - 2013///
SN  - 1539-3100
SP  - 110
TI  - Words that fascinate the listener: Predicting affective ratings of on-line lectures
T2  - International Journal of Distance Education Technologies
UR  - http://dx.doi.org/10.4018/jdet.2013040106
VL  - 11
ER  -

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