@inproceedings{muller-etal-2017-topicthunder,
title = "{T}opic{T}hunder at {S}em{E}val-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision",
author = {M{\"u}ller, Simon and
Huonder, Tobias and
Deriu, Jan and
Cieliebak, Mark},
editor = "Bethard, Steven and
Carpuat, Marine and
Apidianaki, Marianna and
Mohammad, Saif M. and
Cer, Daniel and
Jurgens, David",
booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S17-2129",
doi = "10.18653/v1/S17-2129",
pages = "766--770",
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.",
}
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%0 Conference Proceedings
%T TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision
%A Müller, Simon
%A Huonder, Tobias
%A Deriu, Jan
%A Cieliebak, Mark
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F muller-etal-2017-topicthunder
%X 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.
%R 10.18653/v1/S17-2129
%U https://aclanthology.org/S17-2129
%U https://doi.org/10.18653/v1/S17-2129
%P 766-770
Markdown (Informal)
[TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision](https://aclanthology.org/S17-2129) (Müller et al., SemEval 2017)
ACL