MACHINE-LEARNING MODEL GENERATION
    1.
    发明公开

    公开(公告)号:US20240282452A1

    公开(公告)日:2024-08-22

    申请号:US18653547

    申请日:2024-05-02

    CPC classification number: G16H50/20 G06N20/00 G06Q50/22 G16H10/60

    Abstract: A computer-implemented method for generating one or more summarizations of a large volume of feedback data includes obtaining the feedback data. The feedback data is provided from disparate sources. The method includes separating the feedback data into a set of sentences, generating feedback embeddings of the set of sentences by providing the set of sentences to a set of machine models, providing topic input data to the set of machine models, computing sentence similarity of the feedback embeddings, calculating an importance score for each sentence of the set of sentences, ranking the set of sentences according to their respective importance scores, selecting one or more subsets of the set of sentences to generate the one or more summarizations, generating a visual representation of the one or more summarizations, and displaying the visual representation in an interactive user interface.

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