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https://doi.org/10.21256/zhaw-1529
Publikationstyp: | Konferenz: Paper |
Art der Begutachtung: | Peer review (Publikation) |
Titel: | TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision |
Autor/-in: | Müller, Simon Huonder, Tobias Deriu, Jan Milan Cieliebak, Mark |
DOI: | 10.21256/zhaw-1529 |
Tagungsband: | Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) |
Seite(n): | 766 |
Seiten bis: | 771 |
Angaben zur Konferenz: | 11th International Workshop on Semantic Evaluation, Vancouver, Canada, 3-4 August 2017 |
Erscheinungsdatum: | 2017 |
Verlag / Hrsg. Institution: | Association for Computational Linguistics |
Sprache: | Englisch |
Schlagwörter: | Sentiment Analysis; Natural Language Processing |
Fachgebiet (DDC): | 006: Spezielle Computerverfahren 410.285: Computerlinguistik |
Zusammenfassung: | In this paper, we propose a classifier for predicting topic-specific sentiments of English Twitter messages. Our method is based on a 2-layer CNN. With a distant supervised phase we leverage a large amount of weakly-labelled training data. Our system was evaluated on the data provided by the SemEval-2017 competition in the Topic-Based Message Polarity Classification subtask, where it ranked 4th place. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/1855 |
Volltext Version: | Publizierte Version |
Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
Departement: | School of Engineering |
Organisationseinheit: | Institut für Informatik (InIT) |
Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
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AS4830458798817311492178520970_content_1.pdf | 1.26 MB | Adobe PDF | ![]() Öffnen/Anzeigen |
Zur Langanzeige
Müller, S., Huonder, T., Deriu, J. M., & Cieliebak, M. (2017). TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision [Conference paper]. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 766–771. https://doi.org/10.21256/zhaw-1529
Müller, S. et al. (2017) ‘TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision’, in Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). Association for Computational Linguistics, pp. 766–771. Available at: https://doi.org/10.21256/zhaw-1529.
S. Müller, T. Huonder, J. M. Deriu, and M. Cieliebak, “TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision,” in Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 2017, pp. 766–771. doi: 10.21256/zhaw-1529.
MÜLLER, Simon, Tobias HUONDER, Jan Milan DERIU und Mark CIELIEBAK, 2017. TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). Conference paper. Association for Computational Linguistics. 2017. S. 766–771
Müller, Simon, Tobias Huonder, Jan Milan Deriu, and Mark Cieliebak. 2017. “TopicThunder at SemEval-2017 Task 4 : Sentiment Classification Using a Convolutional Neural Network with Distant Supervision.” Conference paper. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), 766–71. Association for Computational Linguistics. https://doi.org/10.21256/zhaw-1529.
Müller, Simon, et al. “TopicThunder at SemEval-2017 Task 4 : Sentiment Classification Using a Convolutional Neural Network with Distant Supervision.” Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), Association for Computational Linguistics, 2017, pp. 766–71, https://doi.org/10.21256/zhaw-1529.
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