Building and Optimizing LSTM Networks for Sentiment Analysis
Introduction Recently, I’ve been tinkering around with training different AI models. Specifically, different types of networks. Long Short-Term Memory (LSTM) are good at natural language processing tasks, particularly sentiment analysis. In this demonstration, I’m going to build an LSTM-based sentiment classifier using TensorFlow and the IMDB movie reviews dataset. Then, I will compare different optimizers and learning rates to understand their impact on model performance. The Problem: Movie Review Sentiment Analysis The IMDB dataset contains 50,000 movie reviews labeled as positive or negative, making it perfect for binary sentiment classification. Our goal is to build an LSTM network that can accurately predict whether a review expresses positive or negative sentiment. ...