TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Ruppenhofer, Josef
A1  - Steiner, Petra
A1  - Wiegand, Michael
ED  - Angelova, Galia
ED  - Bontcheva, Kalina
ED  - Mitkov, Ruslan
ED  - Nikolova, Ivelina
ED  - Temnikova, Irina
T1  - Evaluating the Morphological Compositionality of Polarity
T2  - Proceedings of the 11th International Conference on Recent Advances in Natural Language Processing, RANLP 2017, Varna, Bulgaria, 2-8 September, 2017
N2  - Unknown words are a challenge for any NLP task, including sentiment analysis. Here, we evaluate the extent to which sentiment polarity of complex words can be predicted based on their morphological make-up. We do this on German as it has very productive processes of derivation and compounding and many German hapax words, which are likely to bear sentiment, are morphologically complex. We present results of supervised classification experiments on new datasets with morphological parses and polarity annotations.
KW  - Natürliche Sprache
KW  - Computerlinguistik
KW  - Polarität
KW  - Text Mining
KW  - Automatische Sprachverarbeitung
KW  - Sentimentanalyse
KW  - semantische Analyse
Y1  - 2017
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-84917
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-84917
UR  - https://aclanthology.info/papers/R17-1081/r17-1081
SN  - 978-954-452-049-6
SB  - 978-954-452-049-6
SP  - 625
EP  - 633
PB  - Incoma Ltd.
CY  - Shoumen
ER  -