In this project, I developed a Multimodal Sentiment Analysis System using PyTorch that leverages both text and image data to analyze and predict the sentiment of memes. The primary objective was to construct a robust model capable of interpreting complex data inputs, including textual content from the memes and their corresponding images, to accurately determine the underlying sentiment, ranging across multiple categorical levels.
