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        <title>Potential and Limitations of Cross-Domain Sentiment Classification</title>
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        <namePart type="given">Jan</namePart>
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            <title>Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media</title>
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            <namePart type="given">Lun-Wei</namePart>
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    <abstract>In this paper we investigate the cross-domain performance of a current state-of-the-art sentiment analysis systems. For this purpose we train a convolutional neural network (CNN) on data from different domains and evaluate its performance on other domains. Furthermore, we evaluate the usefulness of combining a large amount of different smaller annotated corpora to a large corpus. Our results show that more sophisticated approaches are required to train a system that works equally well on various domains.</abstract>
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%0 Conference Proceedings
%T Potential and Limitations of Cross-Domain Sentiment Classification
%A Deriu, Jan Milan
%A Weilenmann, Martin
%A Von Gruenigen, Dirk
%A Cieliebak, Mark
%Y Ku, Lun-Wei
%Y Li, Cheng-Te
%S Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F deriu-etal-2017-potential
%X In this paper we investigate the cross-domain performance of a current state-of-the-art sentiment analysis systems. For this purpose we train a convolutional neural network (CNN) on data from different domains and evaluate its performance on other domains. Furthermore, we evaluate the usefulness of combining a large amount of different smaller annotated corpora to a large corpus. Our results show that more sophisticated approaches are required to train a system that works equally well on various domains.
%R 10.18653/v1/W17-1103
%U https://aclanthology.org/W17-1103
%U https://doi.org/10.18653/v1/W17-1103
%P 17-24

Markdown (Informal)

[Potential and Limitations of Cross-Domain Sentiment Classification](https://aclanthology.org/W17-1103) (Deriu et al., SocialNLP 2017)

• Potential and Limitations of Cross-Domain Sentiment Classification (Deriu et al., SocialNLP 2017)

ACL

• Jan Milan Deriu, Martin Weilenmann, Dirk Von Gruenigen, and Mark Cieliebak. 2017. Potential and Limitations of Cross-Domain Sentiment Classification. In Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media, pages 17–24, Valencia, Spain. Association for Computational Linguistics.