Document Categorization

Document categorization aims to automatically assign documents to predefined categories or clusters, facilitating efficient information retrieval and knowledge discovery. Current research emphasizes improving the accuracy and interpretability of categorization, focusing on techniques like graph neural networks for leveraging sentence-level context and advanced clustering methods that analyze document parts to identify nuanced patterns, such as influence campaigns. These advancements address challenges like handling multi-page documents, noisy data, and imbalanced class distributions, ultimately improving the effectiveness of information organization and analysis across diverse applications.