Sentiment Analysis: Predicting Yelp Scores
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Abstract (arXiv)
In this work, we predict the sentiment of restaurant reviews based on a subset of the Yelp Open Dataset. We utilize the meta features and text available in the dataset and evaluate several machine learning and state-of-the-art deep learning approaches for the prediction task. Through several qualitative experiments, we show the success of the deep models with attention mechanism in learning a balanced model for reviews across different restaurants. Finally, we propose a novel Multi-tasked joint BERT model that improves the overall classification performance.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 13 of its 28 references that are in the map. First posted on arXiv 20 Jan 2022.
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References · 13
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