TU Darmstadt / ULB / TUbiblio

Evaluating the Morphological Compositionality of Polarity

Ruppenhofer, Josef ; Steiner, Petra ; Wiegand, Michael (2017)
Evaluating the Morphological Compositionality of Polarity.
11th Recent Advances in Natural Language Processing (RANLP 2017). Varna, Bulgaria (02.09.2017-08.09.2017)
doi: 10.26615/978-954-452-049-6_081
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Autor(en): Ruppenhofer, Josef ; Steiner, Petra ; Wiegand, Michael
Art des Eintrags: Bibliographie
Titel: Evaluating the Morphological Compositionality of Polarity
Sprache: Englisch
Publikationsjahr: 7 September 2017
Verlag: INCOMA Ltd.
Buchtitel: Proceedings of the 11th International Conference on Recent Advances in Natural Language Processing
Veranstaltungstitel: 11th Recent Advances in Natural Language Processing (RANLP 2017)
Veranstaltungsort: Varna, Bulgaria
Veranstaltungsdatum: 02.09.2017-08.09.2017
DOI: 10.26615/978-954-452-049-6_081
Zugehörige Links:
Kurzbeschreibung (Abstract):

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.

Fachbereich(e)/-gebiet(e): Zentrale Einrichtungen
Zentrale Einrichtungen > Universitäts- und Landesbibliothek (ULB)
Hinterlegungsdatum: 19 Jun 2023 13:40
Letzte Änderung: 19 Jun 2023 13:40
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen