Explaining Sentiment Classification
Conference paper
Rajwadi, M., Glackin, C., Wall, J., Chollet, G. and Cannings, N. 2019. Explaining Sentiment Classification. Interspeech 2019. Graz, AT 15 - 19 Sep 2019 International Speech Communication Association. https://doi.org/10.21437/Interspeech.2019-2743
Authors | Rajwadi, M., Glackin, C., Wall, J., Chollet, G. and Cannings, N. |
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Type | Conference paper |
Abstract | This paper presents a novel 1-D sentiment classifier trained on the benchmark IMDB dataset. The classifier is a 1-D convolutional neural network with repeated convolution and max pooling layers. The main contribution of this work is the demonstration of a deconvolution technique for 1-D convolutional neural networks that is agnostic to specific architecture types. This deconvolution technique enables text classification to be explained, a feature that is important for NLP-based decision support systems, as well as being an invaluable diagnostic tool. |
Year | 2019 |
Conference | Interspeech 2019 |
Publisher | International Speech Communication Association |
Publisher's version | License File Access Level Anyone |
Publication dates | |
Online | 15 Sep 2019 |
Publication process dates | |
Accepted | 17 Jun 2019 |
Deposited | 03 Oct 2019 |
Journal citation | pp. 56-60 |
ISSN | 1990-9772 |
Book title | Proceedings Interspeech 2019 |
Digital Object Identifier (DOI) | https://doi.org/10.21437/Interspeech.2019-2743 |
Web address (URL) | http://dx.doi.org/10.21437/Interspeech.2019-2743 |
Copyright holder | © 2019 ISCA. All Rights Reserved. |
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