Sentiment Analysis: Predicting Yelp Scores
Machine Learning
2022-01-21 v1 Computation and Language
Abstract
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.
Cite
@article{arxiv.2201.07999,
title = {Sentiment Analysis: Predicting Yelp Scores},
author = {Bhanu Prakash Reddy Guda and Mashrin Srivastava and Deep Karkhanis},
journal= {arXiv preprint arXiv:2201.07999},
year = {2022}
}