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YELP-Rating

Star rating prediction on YELP dataset

Authors

• Eren Şenoğlu
• Mehmet Emre Akbulut
• Yavuz Samet Topçuoğlu

This notebook is the merged version of the 3 notebooks that explains the different parts of the NLP Project. The project is about Start Rating Prediction Task on YELP Review Dataset.

Please use Kaggle notebook editor if you are unable to see some of the images.

Dataset Explanation

• The dataset used in this project is the Yelp Review Full dataset, which is a large collection of product reviews along with their star ratings. The dataset is publicly available on the Hugging Face datasets repository and can be accessed here.

• The dataset was introduced in the paper “Character-level Convolutional Networks for Text Classification” by Xiang Zhang, Junbo Zhao, and Yann LeCun. The paper explores the use of character-level convolutional networks for text classification tasks.

• The Yelp Review Full dataset is particularly suited for tasks such as star rating prediction and sentiment analysis. Each review in the dataset is associated with a star rating, which can be used as a proxy for the sentiment expressed in the review. The goal of the project is to build a model that can accurately predict the star rating of a review based on its text content.