Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: Vocabulary Implemen

The video tutorial covers implementing sentiment classification using recurrent neural networks (RNNs) with Yelp restaurant data. It explains the data structure, labeling process, and the many-to-one architecture of the model. The tutorial guides through setting up the coding environment, loading necessary packages, and building a vocabulary from scratch. It also includes writing helper functions for managing vocabulary and token indexing, using PyTorch for automatic differentiation, and coding the rest from scratch.

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