Paper ID: 2201.07999

Sentiment Analysis: Predicting Yelp Scores

Bhanu Prakash Reddy Guda, Mashrin Srivastava, Deep Karkhanis

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.

Submitted: Jan 20, 2022