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
AuthorsRajwadi, M., Glackin, C., Wall, J., Chollet, G. and Cannings, N.
TypeConference 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.

Year2019
ConferenceInterspeech 2019
PublisherInternational Speech Communication Association
Publisher's version
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File Access Level
Anyone
Publication dates
Online15 Sep 2019
Publication process dates
Accepted17 Jun 2019
Deposited03 Oct 2019
Journal citationpp. 56-60
ISSN1990-9772
Book titleProceedings 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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