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Sentiment Classification of Food Reviews
September 07, 2016 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Hua Feng, Ruixi Lin
arXiv ID
1609.01933
Category
cs.CL: Computation & Language
Citations
5
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Sentiment analysis of reviews is a popular task in natural language processing. In this work, the goal is to predict the score of food reviews on a scale of 1 to 5 with two recurrent neural networks that are carefully tuned. As for baseline, we train a simple RNN for classification. Then we extend the baseline to GRU. In addition, we present two different methods to deal with highly skewed data, which is a common problem for reviews. Models are evaluated using accuracies.
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