Konferenzbeitrag
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.
- Sprache
-
Englisch
- Thema
-
Natürliche Sprache
Computerlinguistik
Polarität
Text Mining
Automatische Sprachverarbeitung
semantische Analyse
Sprache
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Ruppenhofer, Josef
Steiner, Petra
Wiegand, Michael
- Ereignis
-
Veröffentlichung
- (wer)
-
Shoumen : Incoma Ltd.
- (wann)
-
2019-02-13
- URN
-
urn:nbn:de:bsz:mh39-84917
- Letzte Aktualisierung
-
06.03.2025, 09:00 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Leibniz-Institut für Deutsche Sprache - Bibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Konferenzbeitrag
Beteiligte
- Ruppenhofer, Josef
- Steiner, Petra
- Wiegand, Michael
- Shoumen : Incoma Ltd.
Entstanden
- 2019-02-13
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