Evaluating the Morphological Compositionality of Polarity
- 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.
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| Author: | Josef RuppenhoferGND, Petra SteinerGND, Michael WiegandGND |
|---|---|
| URN: | urn:nbn:de:bsz:mh39-84917 |
| URL: | https://aclanthology.info/papers/R17-1081/r17-1081 |
| ISBN: | 978-954-452-049-6 |
| Parent Title (English): | Proceedings of the 11th International Conference on Recent Advances in Natural Language Processing, RANLP 2017, Varna, Bulgaria, 2-8 September, 2017 |
| Publisher: | Incoma Ltd. |
| Place of publication: | Shoumen |
| Editor: | Galia Angelova, Kalina Bontcheva, Ruslan Mitkov, Ivelina Nikolova, Irina Temnikova |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of first Publication: | 2017 |
| Date of Publication (online): | 2019/02/13 |
| Publicationstate: | Veröffentlichungsversion |
| Reviewstate: | Peer-Review |
| Tag: | Sentimentanalyse |
| GND Keyword: | Automatische Sprachverarbeitung; Computerlinguistik; Natürliche Sprache; Polarität; Text Mining; semantische Analyse |
| First Page: | 625 |
| Last Page: | 633 |
| DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
| Open Access?: | ja |
| Leibniz-Classification: | Sprache, Linguistik |
| Linguistics-Classification: | Computerlinguistik |
| Program areas: | Pragmatik |
| Program areas: | Digitale Sprachwissenschaft |
| Licence (English): |  Creative Commons - Attribution 4.0 International |