Natural Language Processing

This is a project I created for the UCSD Spring '25 NLP Class & Kaggle Competition.

The goal was to build an NLP model to accurately classify restaurant types from Yelp restaurant data.

It compares Average Word Embeddings models to BERT/roBERTa Transformer models, in Python.​

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