The latest articles on DEV Community by hannaconner (@hannaconner). https://dev.to/hannaconner https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3358964%2F3a6a420e-8aaf-4f45-aa80-55cd2dbe7ca8.png https://dev.to/hannaconner en hannaconner Wed, 16 Jul 2025 07:01:33 +0000 https://dev.to/hannaconner/building-a-sentiment-analysis-model-2j4e https://dev.to/hannaconner/building-a-sentiment-analysis-model-2j4e <p>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.</p> <p>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.</p> deeplearning machinelearning nlp python