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2018 | OriginalPaper | Chapter

Aspect Based Sentiment Analysis for Online Reviews

Authors : Lamei Xu, Jin Liu, Lina Wang, Chunyong Yin

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

Learning good semantic vector representations for sentiment analysis in phrases, sentences and paragraphs is a challenging and ongoing area of natural language processing. In this paper, we propose a Convolution Neural Network for aspect level sentiment classification. Our model first builds a convolution neural network model to aspect extraction. Afterwards, we used a sequence labeling approach with Conditional Random Fields for the opinion target detection. Finally, we concatenate an aspect vector with every word embedding and apply a convolution neural network over it to determine the sentiment towards an aspect. Results of an experiment show that our method performs comparably well on Yelp reviews.

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Metadata
Title
Aspect Based Sentiment Analysis for Online Reviews
Authors
Lamei Xu
Jin Liu
Lina Wang
Chunyong Yin
Copyright Year
2018
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-7605-3_78