TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision

Müller, Simon; Huonder, Tobias; Deriu, Jan Milan; Cieliebak, Mark

doi:10.21256/zhaw-1529

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-1529

Publication type:	Conference paper
Type of review:	Peer review (publication)
Title:	TopicThunder at SemEval-2017 Task 4 : sentiment classification using a convolutional neural network with distant supervision
Authors:	Müller, Simon Huonder, Tobias Deriu, Jan Milan Cieliebak, Mark
DOI:	10.21256/zhaw-1529
Proceedings:	Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Page(s):	766
Pages to:	771
Conference details:	11th International Workshop on Semantic Evaluation, Vancouver, Canada, 3-4 August 2017
Issue Date:	2017
Publisher / Ed. Institution:	Association for Computational Linguistics
Language:	English
Subjects:	Sentiment Analysis; Natural Language Processing
Subject (DDC):	006: Special computer methods 410.285: Computational linguistics
Abstract:	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
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Computer Science (InIT)
Appears in collections:	Publikationen School of Engineering

Files in This Item:

File	Description	Size	Format
AS4830458798817311492178520970_content_1.pdf		1.26 MB	Adobe PDF	View/Open

Show full item record

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.