Building a Sentiment Analysis Model

Sequence modeling is a powerful technique for understanding and predicting patterns in ordered data. From predicting the next word in a sentence to forecasting stock prices, sequence models are everywhere. In this post, we'll dive deep into sequence modeling by building a sentiment analysis model using a bidirectional Long Short-Term Memory (LSTM) network in PyTorch.

We'll be working with a synthetic movie review dataset, which will allow us to focus on the model-building process without getting bogged down in complex data cleaning. By the end of this tutorial, you'll have a solid understanding of how to build, train, and evaluate your own LSTM-based sentiment analysis model.