EVALUATION OF ELECTRONIC DOCUMENTS FOR ADVERSE SUBJECT MATTER

    公开(公告)号:US20250045507A1

    公开(公告)日:2025-02-06

    申请号:US18785309

    申请日:2024-07-26

    Abstract: Apparatus and method of evaluating electronic documents. In an embodiment, the method comprises obtaining a dataset comprising labeled text samples associated with subject matter categories and having a respective label comprises a risk level. The method comprises applying a machine learning (ML) model to the labeled text samples to vectorize the labeled text samples, and determining a representative vector for groups of text sample vectors associated with a same risk level in each subject matter category. The method comprises displaying an electronic document, extracting a text segment, applying the ML model to the text segment to vectorize the text segment, mapping the text segment vector to a subject matter category, determining the risk level associated with the text segment based on a relation between the text segment vector and representative vectors associated with the subject matter category, and annotating the text segment with an annotation based on the risk level.

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