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
License
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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