公开(公告)号：US20230169957A1

公开(公告)日：2023-06-01

申请号：US17539248

申请日：2021-12-01

Applicant: Bank of America Corporation

Inventor： Ramakrishna R. Yannam ,  Isaac Persing ,  Emad Noorizadeh ,  Sushil Golani ,  Hari Gopalkrishnan ,  Dana Patrice Morrow Branch

IPC: G10L15/16 ,  G10L15/06 ,  G10L15/22 ,  G10L15/30

CPC classification number: G10L15/16 ,  G10L15/063 ,  G10L15/22 ,  G10L15/30 ,  G10L2015/0638

Abstract: Apparatus and methods for leveraging machine learning and artificial intelligence to assess a sentiment of an utterance expressed by a user during an interaction between an interactive response system and the user is provided. The methods may include a natural language processor processing the utterance to output an utterance intent. The methods may also include a signal extractor processing the utterance, the utterance intent and previous utterance data to output utterance signals. The methods may additionally include an utterance sentiment classifier using a hierarchy of rules to extract, from a database, a label, the extracting being based on the utterance signals. The methods may further include a sequential neural network classifier using a trained algorithm to process the label and a sequence of historical labels to output a sentiment score.

公开(公告)号：US20220311723A1

公开(公告)日：2022-09-29

申请号：US17840758

申请日：2022-06-15

Applicant: BANK OF AMERICA CORPORATION

Inventor： Sandeep Kumar Chauhan ,  Hari Gopalkrishnan ,  Jagadish Reddy

IPC: H04L51/18 ,  G06N20/00 ,  G10L15/26

Abstract: Systems, computer program products, and methods are described herein for information transfer between communication channels. The present invention is configured to electronically receive, via a first communication channel associated with an entity, information associated with a transfer of resources from a user at a first time; initiate one or more machine learning algorithms at on the information associated with the transfer of resources at the first time; generate, using the one or more machine learning algorithms, a summary of the information associated with the transfer of resources; electronically receive an indication that the user wishes to transfer to a second communication channel; and initiate a communication channel transfer protocol to transmit the summary of the information associated with the transfer of resources to the second communication channel.

公开(公告)号：US20230169958A1

公开(公告)日：2023-06-01

申请号：US17539314

申请日：2021-12-01

Applicant: Bank of America Corporation

Inventor： Isaac Persing ,  Emad Noorizadeh ,  Ramakrishna R. Yannam ,  Sushil Golani ,  Hari Gopalkrishnan ,  Dana Patrice Morrow Branch

IPC: G10L15/16 ,  G10L15/18 ,  G10L15/22

CPC classification number: G10L15/16 ,  G10L15/1815 ,  G10L15/22 ,  G10L2015/081

Abstract: Apparatus and methods for leveraging machine learning and artificial intelligence to generate a response to an utterance expressed by a user during an interaction between an interactive response system and the user is provided. The methods may include a natural language processor processing the utterance to output an utterance intent. The methods may also include a signal extractor processing the utterance, the utterance intent and previous utterance data to output utterance signals. The methods may additionally include an utterance sentiment classifier using a hierarchy of rules to extract, from a database, a label, the extracting being based on the utterance signals. The methods may further include a sequential neural network classifier using a trained algorithm to process the label and a sequence of historical labels to output a sentiment score. The methods may further include, based on the utterance intent, the label and the score, to output a response.

公开(公告)号：US11935531B2

公开(公告)日：2024-03-19

申请号：US17539262

申请日：2021-12-01

Applicant: Bank of America Corporation

Inventor： Isaac Persing ,  Emad Noorizadeh ,  Ramakrishna R. Yannam ,  Sushil Golani ,  Hari Gopalkrishnan ,  Dana Patrice Morrow Branch

IPC: G10L15/22 ,  G10L15/06 ,  G10L15/30

CPC classification number: G10L15/22 ,  G10L15/063 ,  G10L15/30 ,  G10L2015/223

Abstract: Apparatus and methods for leveraging machine learning and artificial intelligence to assess a sentiment of an utterance expressed by a user during an interaction between an interactive response system and the user is provided. The methods may include a natural language processor processing the utterance to output an utterance intent. The methods may also include a signal extractor processing the utterance, the utterance intent and previous utterance data to output utterance signals. The methods may additionally include an utterance sentiment classifier using a hierarchy of rules to extract, from a database, a label, the extracting being based on the utterance signals. The methods may further include a sequential neural network classifier using a trained algorithm to process the label and a sequence of historical labels to output a sentiment score.

公开(公告)号：US20240056403A1

公开(公告)日：2024-02-15

申请号：US18380287

申请日：2023-10-16

Applicant: Bank of America Corporation

Inventor： Ramakrishna R. Yannam ,  Priyank R. Shah ,  Emad Noorizadeh ,  Castigliana Cimpian ,  Sushil Golani ,  Hari Gopalkrishnan

IPC: H04L51/02 ,  G06F40/30 ,  G06F16/2457 ,  G06N20/00

CPC classification number: H04L51/02 ,  G06F40/30 ,  G06F16/24578 ,  G06N20/00

Abstract: Methods for building and training a network of chatbots are provided. Methods may perform data analysis on a first chatbot in the network. The first chatbot may include a first domain of intents. The data analysis may identify and rank the intents in the first domain. The first domain may represent answers to a first domain of user queries. Methods may select a predetermined number of highest-ranking intents from the first domain based on the data analysis. Methods may input the selected intents into a second chatbot in the network. The second chatbot may include a second domain of intents. The second domain may represent answers to a second domain of user queries. Methods may input a hook into the second chatbot. The hook may include a trigger word and may correspond to the first domain. When the hook is triggered, the second chatbot may invoke the first chatbot.

公开(公告)号：US11729121B2

公开(公告)日：2023-08-15

申请号：US17243738

申请日：2021-04-29

Applicant: Bank of America Corporation

Inventor： Ramakrishna R. Yannam ,  Priyank R. Shah ,  Emad Noorizadeh ,  Castigliana Cimpian ,  Sushil Golani ,  Hari Gopalkrishnan

IPC: H04L51/02 ,  G06F16/2455 ,  G06F9/54

CPC classification number: H04L51/02 ,  G06F9/54 ,  G06F16/24565

Abstract: A network of chatbots is provided. The network may include a user-facing router for receiving queries and a plurality of chatbots. Each chatbot included in the plurality of chatbots may identify a single logical grouping of a domain, identify a limited number of intents from each other chatbot included in the plurality of chatbots and communicate with each other chatbot included in the plurality of chatbots. When the router receives a query, the router may receive the query with an associated domain. The router may select a chatbot based on the received domain. The router may direct the query to the selected chatbot. The selected chatbot may determine that the domain associated with the query is incorrect. The selected chatbot may identify a second chatbot based on a hook included in the query and identified within the selected chatbot. The selected chatbot may transfer the query to the second chatbot.

公开(公告)号：US20220353208A1

公开(公告)日：2022-11-03

申请号：US17243728

申请日：2021-04-29

Applicant: Bank of America Corporation

Inventor： Ramakrishna R. Yannam ,  Priyank R. Shah ,  Emad Noorizadeh ,  Castigliana Cimpian ,  Sushil Golani ,  Hari Gopalkrishnan

IPC: H04L12/58 ,  G06N20/00 ,  G06F16/2457 ,  G06F40/30

Abstract: Methods for building and training a network of chatbots are provided. Methods may perform data analysis on a first chatbot in the network. The first chatbot may include a first domain of intents. The data analysis may identify and rank the intents in the first domain. The first domain may represent answers to a first domain of user queries. Methods may select a predetermined number of highest-ranking intents from the first domain based on the data analysis. Methods may input the selected intents into a second chatbot in the network. The second chatbot may include a second domain of intents. The second domain may represent answers to a second domain of user queries. Methods may input a hook into the second chatbot. The hook may include a trigger word and may correspond to the first domain. When the hook is triggered, the second chatbot may invoke the first chatbot.

公开(公告)号：US20220058906A1

公开(公告)日：2022-02-24

申请号：US16999973

申请日：2020-08-21

Applicant: BANK OF AMERICA CORPORATION

Inventor： Srinivas Dundigalla ,  Mohan Rao Balan ,  Pavan Kumar Chayanam ,  Varsha Devadas ,  Tony England ,  Hari Gopalkrishnan ,  Brandon Kozlowski ,  Kurt A. Loth ,  Navdeep Mahajan ,  Carl Parziale ,  Rupal V. Shah ,  Manoj Shankar ,  David Smiddy ,  Cory Scott Turco ,  Robert L. Wright, JR. ,  Xianhong Zhang ,  Pavan Singaraju

IPC: G07D11/60 ,  H04W4/80 ,  H04L29/08 ,  H04W12/06 ,  G06Q30/00 ,  G06Q20/10 ,  G06Q20/20 ,  G06Q20/32 ,  G06Q20/40 ,  G06Q40/02 ,  G06Q20/22 ,  G06K7/10 ,  G07D11/22

Abstract: Contactless dispensing of objects from object-dispensing machines. A digital token is wirelessly communicated to the machine via short-range wireless communication, such as Near Field Communication (NFC) or the like. In response, a push notification is communicated to the user's wireless device, which includes an activatable link for launching a mobile application. In response to launching the mobile application and authenticating the user, the mobile application provides object-dispensing machine-like user interfaces that are configured to allow the user to input object requesting parameters and submit a request for objects to be dispensed from the object-dispensing machine. The request is communicated to the object-dispensing machines (or corresponding backend processing systems) and, once the request is verified, the object-dispensing machine dispenses the requested objects.

公开(公告)号：US20210400004A1

公开(公告)日：2021-12-23

申请号：US16907345

申请日：2020-06-22

Applicant: Bank of America Corporation

Inventor： Sandeep Kumar Chauhan ,  Hari Gopalkrishnan ,  Jagadish Reddy

IPC: H04L12/58 ,  G10L15/26 ,  G06N20/00

Abstract: Systems, computer program products, and methods are described herein for information transfer between communication channels. The present invention is configured to electronically receive, via a first communication channel associated with an entity, information associated with a transfer of resources from a user at a first time; initiate one or more machine learning algorithms at on the information associated with the transfer of resources at the first time; generate, using the one or more machine learning algorithms, a summary of the information associated with the transfer of resources; electronically receive an indication that the user wishes to transfer to a second communication channel; and initiate a communication channel transfer protocol to transmit the summary of the information associated with the transfer of resources to the second communication channel.

公开(公告)号：US12177172B2

公开(公告)日：2024-12-24

申请号：US18380287

申请日：2023-10-16

Applicant: Bank of America Corporation

Inventor： Ramakrishna R. Yannam ,  Priyank R. Shah ,  Emad Noorizadeh ,  Castigliana Cimpian ,  Sushil Golani ,  Hari Gopalkrishnan

IPC: H04L51/02 ,  G06F16/2457 ,  G06F40/30 ,  G06N20/00

Abstract: Methods for building and training a network of chatbots are provided. Methods may perform data analysis on a first chatbot in the network. The first chatbot may include a first domain of intents. The data analysis may identify and rank the intents in the first domain. The first domain may represent answers to a first domain of user queries. Methods may select a predetermined number of highest-ranking intents from the first domain based on the data analysis. Methods may input the selected intents into a second chatbot in the network. The second chatbot may include a second domain of intents. The second domain may represent answers to a second domain of user queries. Methods may input a hook into the second chatbot. The hook may include a trigger word and may correspond to the first domain. When the hook is triggered, the second chatbot may invoke the first chatbot.