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公开(公告)号:US20230351121A1
公开(公告)日:2023-11-02
申请号:US18217533
申请日:2023-07-01
申请人: Asif Hasan , Gaurav Johar , Kanishk Mehta , Sreevasthavan K C , Akash Mourya , Himanshu Kumar , Surya S G , Harshit Shah , Ashwini Patil , Saravanan Murugan , Anuja Anil Kumar Singh , Tridib Paul
发明人: Asif Hasan , Gaurav Johar , Kanishk Mehta , Sreevasthavan K C , Akash Mourya , Himanshu Kumar , Surya S G , Harshit Shah , Ashwini Patil , Saravanan Murugan , Anuja Anil Kumar Singh , Tridib Paul
IPC分类号: G06F40/40 , G06F16/332 , G06F16/35 , G06F16/31
CPC分类号: G06F40/40 , G06F16/3329 , G06F16/355 , G06F16/322
摘要: A method and system for generating conversation flows is provided herein. The method and system comprise storing conversations between at least an agent and at least a user in logs. Further, the method and system comprise extracting topics from the logs. Also, the method and system comprise creating clusters from the extracted topics. The method and system further comprise generating the conversation flows from the clusters.
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公开(公告)号:US20230351257A1
公开(公告)日:2023-11-02
申请号:US18218059
申请日:2023-07-04
申请人: Akash Mourya , Anuja Anil Kumar Singh , Ashwini Patil , Asif Hasan , Gaurav Johar , Harshit Shah , Himanshu Kumar , Kanishk Mehta , Saravanan Murugan , Sreevasthavan K C , Surya S G , Tridib Paul
发明人: Akash Mourya , Anuja Anil Kumar Singh , Ashwini Patil , Asif Hasan , Gaurav Johar , Harshit Shah , Himanshu Kumar , Kanishk Mehta , Saravanan Murugan , Sreevasthavan K C , Surya S G , Tridib Paul
IPC分类号: G06N20/00
CPC分类号: G06N20/00
摘要: A method and system for training a virtual agent through fallback analysis is provided herein. The method comprises obtaining a plurality of fallback utterances. The method further comprises classifying the plurality of fallback utterances into one or more of existing intent categories, via a Machine Learning (ML) model. The method further comprises upon unsuccessful classification of one or more utterances of the plurality of fallback utterances, clustering the one or more utterances into one or more groups based on similarities among the one or more utterances, via the ML model. Further, the method comprises generating labels for the one or more groups to determine names of new intent categories associated with the one or more utterances.
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公开(公告)号:US20230350929A1
公开(公告)日:2023-11-02
申请号:US18218057
申请日:2023-07-04
申请人: Asif Hasan , Gaurav Johar , Kanishk Mehta , Sreevasthavan K C , Akash Mourya , Himanshu Kumar , Surya S G , Harshit Shah , Ashwini Patil , Saravanan Murugan , Anuja Anil Kumar Singh , Tridib Paul
发明人: Asif Hasan , Gaurav Johar , Kanishk Mehta , Sreevasthavan K C , Akash Mourya , Himanshu Kumar , Surya S G , Harshit Shah , Ashwini Patil , Saravanan Murugan , Anuja Anil Kumar Singh , Tridib Paul
IPC分类号: G06F16/332
CPC分类号: G06F16/3329
摘要: A method and system for generating a response through a virtual agent is provided herein. The method comprises receiving information associated with a plurality of themes and topics. The method further comprises creating a knowledgebase based on the information received. The method further comprises analyzing the knowledgebase based on an intent identified, using an Artificial Intelligence (AI) model. Further, the method comprises generating a response corresponding to the intent through the virtual agent based on analyzation.
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公开(公告)号:US20230342557A1
公开(公告)日:2023-10-26
申请号:US18215509
申请日:2023-06-28
申请人: Asif Hasan , Gaurav Johar , Kanishk Mehta , Sreevasthavan K C , Akash Mourya , Himanshu Kumar , Surya S G , Harshit Shah , Ashwini Patil , Saravanan Murugan , Anuja Anil Kumar Singh , Tridib Paul
发明人: Asif Hasan , Gaurav Johar , Kanishk Mehta , Sreevasthavan K C , Akash Mourya , Himanshu Kumar , Surya S G , Harshit Shah , Ashwini Patil , Saravanan Murugan , Anuja Anil Kumar Singh , Tridib Paul
摘要: A method and system for training a virtual agent is provided herein. The method and system comprises storing conversations between the virtual agent and a user in logs. The method and system further comprises mining the logs to retrieve utterances. The method and system further comprises computing regression for each of the plurality of the charging time segments. The method and system further comprises providing a score to the utterances. Further, the method ranking the utterances based on the score.
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