Systems and methods for blast electronic activity detection

    公开(公告)号:US11610145B2

    公开(公告)日:2023-03-21

    申请号:US16898132

    申请日:2020-06-10

    申请人: People.ai, Inc.

    IPC分类号: G06N7/00 G06N20/00

    摘要: The present disclosure relates to determining detecting blast electronic activities. A method can include identifying a plurality of first electronic activities transmitted by a first electronic account of a data source provider. For each first electronic activity of the plurality of first electronic activities, a plurality of features can be extracted. For at least one first electronic activity of the plurality of first electronic activities, a blast probability score can be generated indicating a likelihood that the at least one first electronic activity is a blast electronic activity. The blast probability score can be generated using a machine learning model trained using features extracted from second electronic activities labeled as blast electronic activities and features extracted from third electronic activities labeled as non-blast electronic activities. An association between the at least one first electronic activity and the blast probability score can be stored in a data structure.

    SYSTEMS AND METHODS FOR BLAST ELECTRONIC ACTIVITY DETECTION

    公开(公告)号:US20230252330A1

    公开(公告)日:2023-08-10

    申请号:US18186504

    申请日:2023-03-20

    申请人: People.ai, Inc.

    IPC分类号: G06N7/01 G06N20/00

    CPC分类号: G06N7/01 G06N20/00

    摘要: The present disclosure relates to determining detecting blast electronic activities. A method can include identifying a plurality of first electronic activities transmitted by a first electronic account of a data source provider. For each first electronic activity of the plurality of first electronic activities, a plurality of features can be extracted. For at least one first electronic activity of the plurality of first electronic activities, a blast probability score can be generated indicating a likelihood that the at least one first electronic activity is a blast electronic activity. The blast probability score can be generated using a machine learning model trained using features extracted from second electronic activities labeled as blast electronic activities and features extracted from third electronic activities labeled as non-blast electronic activities. An association between the at least one first electronic activity and the blast probability score can be stored in a data structure.