SYSTEM AND METHOD FOR AUTOMATICALLY VALIDATING AGENT IMPLEMENTATION OF TRAINING MATERIAL

    公开(公告)号:US20200382641A1

    公开(公告)日:2020-12-03

    申请号:US16996602

    申请日:2020-08-18

    Applicant: Nice Ltd.

    Abstract: A system and method for testing an agent by a validation bot may include sending training material to an agent; automatically initiating, by the validation bot, a session with an agent by providing a phrase to the agent via a client media interface; obtaining a reply from the agent; mapping the reply of the agent to an agent intent; providing a response to the agent based on the agent intent and according to a predetermined session flow, wherein the predetermined session flow is based on the training material; repeating obtaining responses, mapping the responses and providing responses until a termination criterion is met; calculating a score of the agent according to scoring rules; and providing the score of the agent to a user.

    System and method for performing agent behavioral analytics

    公开(公告)号:US11005995B2

    公开(公告)日:2021-05-11

    申请号:US16271846

    申请日:2019-02-10

    Applicant: Nice Ltd.

    Abstract: A system and method for generating an agent behavioral analytics including transcribing an incoming call to produce a call transcription; and using a trained convolutional neural network (CNN) to produce behavioral labels for the agent in the incoming call for behavioral metrics, based on the call transcription. The CNN may include an embedding layer to convert words in the call transcription into vectors in a word embedding space; a convolution layer to perform a plurality of convolutions on the vectors and to generate vectors of features; a pooling layer to concatenate the vectors of features to a single vector by taking a maximum of each feature generated by the convolution layer; and a classification layer to produce grades of the agent in the incoming call for the set of attributes or behavioral metrics, based on the single vector generated by the pooling layer.

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