Abstract: The present application describes systems and methods for analyzing hypertext. An element detector receives input information (e.g., hypertext) that is included in a web page. The element detector identifies one or more elements in the input information that are relevant to a classification task. The classification task may include classifying the one or more elements. An element extractor generates text tokens, positional tokens, and/or path tokens based on the identified one or more elements. A machine learning (ML) model outputs one or more vector representations based on the text tokens, positional tokens, and/or path tokens. An output classifier, which may be an additional layer of the ML model, classifies the one or more elements into classifications based on the one or more vector representations. A tool may perform one or more tasks based on the classifications.