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        <title>Evaluating the morphological compositionality of polarity</title>
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        <namePart type="given">Josef</namePart>
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        <namePart type="given">Petra</namePart>
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    <name type="personal">
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            <title>Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017</title>
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    <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.</abstract>
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    <identifier type="doi">10.26615/978-954-452-049-6_081</identifier>
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%0 Conference Proceedings
%T Evaluating the morphological compositionality of polarity
%A Ruppenhofer, Josef
%A Steiner, Petra
%A Wiegand, Michael
%S Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
%D 2017
%8 sep
%I INCOMA Ltd.
%C Varna, Bulgaria
%F ruppenhofer-etal-2017-evaluating
%X 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.
%R 10.26615/978-954-452-049-6_081
%U https://doi.org/10.26615/978-954-452-049-6_081
%P 625-633

Markdown (Informal)

[Evaluating the morphological compositionality of polarity](https://doi.org/10.26615/978-954-452-049-6_081) (Ruppenhofer et al., RANLP 2017)

• Evaluating the morphological compositionality of polarity (Ruppenhofer et al., RANLP 2017)

ACL

• Josef Ruppenhofer, Petra Steiner, and Michael Wiegand. 2017. Evaluating the morphological compositionality of polarity. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 625–633, Varna, Bulgaria. INCOMA Ltd..