Patents by Inventor Rama Kalyani T. Akkiraju
Rama Kalyani T. Akkiraju has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10360908Abstract: A computer program product for recommending a dialog act to a participant in a conversation according to one embodiment includes a computer readable storage medium having program instructions embodied therewith. The computer readable storage medium is not a transitory signal per se, where the program instructions are executable by a processor to cause the processor to perform a method including receiving textual data associated with a real-time conversation between a first participant and a second participant, utilizing the processor, receiving an objective of the first participant for the real-time conversation between the first participant and the second participant, utilizing the processor, determining, utilizing the processor, a dialog act to be entered by the first participant at a current point in the real-time conversation that meets the objective, utilizing a model, and returning the dialog act to the first participant, utilizing the processor.Type: GrantFiled: April 19, 2017Date of Patent: July 23, 2019Assignee: International Business Machines CorporationInventors: Rama Kalyani T. Akkiraju, Mansurul Bhuiyan, Pritam S. Gundecha, Jalal U. Mahmud, Shereen Oraby, Vibha S. Sinha, Sabina Tomkins, Anbang Xu
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Publication number: 20190221211Abstract: A computer-implemented method according to one embodiment includes identifying a plurality of communications each having an associated objective, automatically determining a plurality of dialog acts within the plurality of communications, utilizing a classifier, determining a plurality of features within each of the plurality of communications, training the model, utilizing the plurality of communications and associated objectives, the plurality of dialog acts, and the plurality of features, receiving textual data associated with a real-time conversation between a first participant and a second participant, receiving an objective of the first participant for the real-time conversation between the first participant and the second participant, determining a dialog act to be entered by the first participant at a current point in the real-time conversation that meets the objective, utilizing the model, and determining the dialog act to be entered, based on the scoring, and returning the dialog act to the first paType: ApplicationFiled: March 20, 2019Publication date: July 18, 2019Inventors: Rama Kalyani T. Akkiraju, Mansurul Bhuiyan, Pritam S. Gundecha, Jalal U. Mahmud, Shereen Oraby, Vibha S. Sinha, Sabina Tomkins, Anbang Xu
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Publication number: 20190172155Abstract: Some embodiments include a method for scheduling data transactions in an electronic data transaction system. In some embodiments, the method can include presenting, by a filtering node, a user interface indicating options for rescheduling a data transaction to a later date; receiving, by the filtering node via the user interface, information indicating certain of the options that were user-selected; filtering, by the filtering node, the information to determine the user-selected options for rescheduling the data transaction to the later date; storing, in a transaction database, the user-selected options and the later date; identifying, by the filtering node on the later date, the data transaction in the transaction database; and processing, by the filtering node, the data transaction.Type: ApplicationFiled: December 5, 2017Publication date: June 6, 2019Inventors: Donna K. Byron, Rama Kalyani T. Akkiraju, John Black, Paul Lucas
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Patent number: 10311895Abstract: Input of a conversation is received. The conversation includes at least a first user. An utterance of the conversation is analyzed to identify a dialog act attribute, an emotion attribute, and a tone attribute. The dialog act attribute, emotion attribute, and tone attribute are annotated to the utterance of the conversation. The conversation is validated based on the annotated attributes compared with a threshold. The annotated conversation and the validation of the conversation are stored.Type: GrantFiled: June 5, 2018Date of Patent: June 4, 2019Assignee: International Business Machines CorporationInventors: Rama Kalyani T. Akkiraju, Jalal Mahmud, Vibha S. Sinha, Anbang Xu, Pritam S. Gundecha, MD Mansurul A. Bhuiyan, Shereen M. Oraby
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Patent number: 10304451Abstract: A computer-implemented method according to one embodiment includes receiving, utilizing a processor, textual data associated with a real-time conversation between a first participant and a second participant, receiving, utilizing the processor, an objective of the first participant for the real-time conversation between the first participant and the second participant, receiving, utilizing the processor, a proposed dialog act to be entered at a current point in the real-time conversation from the first participant, determining, utilizing the processor, an impact of the proposed dialog act on the objective of the first participant, utilizing a model, and performing, utilizing the processor, one or more actions based on the impact of the proposed dialog act.Type: GrantFiled: June 8, 2017Date of Patent: May 28, 2019Assignee: International Business Machines CorporationInventors: Rama Kalyani T. Akkiraju, Mansurul Bhuiyan, Pritam S. Gundecha, Jalal U. Mahmud, Shereen Oraby, Vibha S. Sinha, Sabina Tomkins, Anbang Xu
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Publication number: 20190156829Abstract: A computer-implemented method according to one embodiment includes receiving, utilizing a processor, textual data associated with a conversation between a first participant and a second participant, receiving, utilizing the processor, an objective of the first participant for the conversation between the first participant and the second participant, receiving, utilizing the processor, a proposed dialog act to be entered in the conversation from the first participant, determining, utilizing the processor, an impact of the proposed dialog act on the objective of the first participant, utilizing a model, and performing, utilizing the processor, one or more actions based on the impact of the proposed dialog act.Type: ApplicationFiled: January 15, 2019Publication date: May 23, 2019Inventors: Rama Kalyani T. Akkiraju, Mansurul Bhuiyan, Pritam S. Gundecha, Jalal U. Mahmud, Shereen Oraby, Vibha S. Sinha, Sabina Tomkins, Anbang Xu
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Publication number: 20190156351Abstract: Tracking of brand followers utilizing social media history and generation of directed advertising. A computing device receives a brand for market analysis, the brand having a brand account on a social media platform. Social media history is received regarding social media habits of social media users. A distribution of brand followers is determined among social media users following the brand account. One or more clusters are generated for viewing market segmentation regarding the brand for market analysis. Brand data is received regarding a plurality of brands having brand accounts on the social media platform, follower profiles for brand followers of the plurality of brand accounts, and social media information for the followers of the plurality of brand accounts. An influencer analysis is generated. Historical follower profiles are received. A historical distribution analysis is generated. A market analysis is generated. Directed advertising is generated based upon the market analysis.Type: ApplicationFiled: November 20, 2017Publication date: May 23, 2019Inventors: Rama Kalyani T. Akkiraju, Pierre-Hadrien Arnoux, Neil H. Boyette, Haibin Liu, Jalal Mahmud, Vibha S. Sinha, Anbang Xu
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Patent number: 10297273Abstract: Input of a conversation is received. The conversation includes at least a first user. An utterance of the conversation is analyzed to identify a dialog act attribute, an emotion attribute, and a tone attribute. The dialog act attribute, emotion attribute, and tone attribute are annotated to the utterance of the conversation. The conversation is validated based on the annotated attributes compared with a threshold. The annotated conversation and the validation of the conversation are stored.Type: GrantFiled: June 5, 2018Date of Patent: May 21, 2019Assignee: International Business Machines CorporationInventors: Rama Kalyani T. Akkiraju, Jalal Mahmud, Vibha S. Sinha, Anbang Xu, Pritam S. Gundecha, Md Mansurul A. Bhuiyan, Shereen M. Oraby
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Publication number: 20190109803Abstract: A system, computer program product, and method are disclosed. In an approach to train customer service agent using chatbots. The method includes training a chatbot for a customer chat simulation based on a customer service conversation data, a task scenario, and a customer persona. The method also includes monitoring an interaction between a customer service agent and the chatbot. The method further includes determining an assessment of the performance of the customer service agent based on the interaction between the customer service agent and the chatbot. The method additionally includes generating feedback for the customer service agent based on the assessment of the performance of the customer service agent.Type: ApplicationFiled: November 15, 2017Publication date: April 11, 2019Inventors: Rama Kalyani T. Akkiraju, Jalal U. Mahmud, Vibha S. Sinha, Anbang Xu
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Publication number: 20190109802Abstract: A system, computer program product, and method are disclosed. In an approach to train customer service agent using chatbots. The method includes training a chatbot for a customer chat simulation based on a customer service conversation data, a task scenario, and a customer persona. The method also includes monitoring an interaction between a customer service agent and the chatbot. The method further includes determining an assessment of the performance of the customer service agent based on the interaction between the customer service agent and the chatbot. The method additionally includes generating feedback for the customer service agent based on the assessment of the performance of the customer service agent.Type: ApplicationFiled: October 5, 2017Publication date: April 11, 2019Inventors: Rama Kalyani T. Akkiraju, Jalal U. Mahmud, Vibha S. Sinha, Anbang Xu
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Publication number: 20190096427Abstract: Input of a conversation is received. The conversation includes at least a first user. An utterance of the conversation is analyzed to identify a dialog act attribute, an emotion attribute, and a tone attribute. The dialog act attribute, emotion attribute, and tone attribute are annotated to the utterance of the conversation. The conversation is validated based on the annotated attributes compared with a threshold. The annotated conversation and the validation of the conversation are stored.Type: ApplicationFiled: June 5, 2018Publication date: March 28, 2019Inventors: Rama Kalyani T. Akkiraju, Jalal Mahmud, Vibha S. Sinha, Anbang Xu, Pritam S. Gundecha, MD Mansurul A. Bhuiyan, Shereen M. Oraby
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Publication number: 20190096425Abstract: Input of a conversation is received. The conversation includes at least a first user. An utterance of the conversation is analyzed to identify a dialog act attribute, an emotion attribute, and a tone attribute. The dialog act attribute, emotion attribute, and tone attribute are annotated to the utterance of the conversation. The conversation is validated based on the annotated attributes compared with a threshold. The annotated conversation and the validation of the conversation are stored.Type: ApplicationFiled: September 26, 2017Publication date: March 28, 2019Inventors: Rama Kalyani T. Akkiraju, Jalal Mahmud, Vibha S. Sinha, Anbang Xu, Pritam S. Gundecha, MD Mansurul A. Bhuiyan, Shereen M. Oraby
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Publication number: 20190096426Abstract: Input of a conversation is received. The conversation includes at least a first user. An utterance of the conversation is analyzed to identify a dialog act attribute, an emotion attribute, and a tone attribute. The dialog act attribute, emotion attribute, and tone attribute are annotated to the utterance of the conversation. The conversation is validated based on the annotated attributes compared with a threshold. The annotated conversation and the validation of the conversation are stored.Type: ApplicationFiled: June 5, 2018Publication date: March 28, 2019Inventors: Rama Kalyani T. Akkiraju, Jalal Mahmud, Vibha S. Sinha, Anbang Xu, Pritam S. Gundecha, Mansurul A. Bhuiyan, Shereen M. Oraby
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Publication number: 20190090772Abstract: An embodiment of the invention may include a method, computer program product and computer system for neural activity interpretation. The method, computer program product and computer system may include a computing device that presents a first user with a stimulus and monitors and maps the neural activity of the first user. The computing device may receive the first user's verbal reaction to the stimulus and map the linguistic data of the first user's verbal reaction to form a high dimensional vector based on the relationships of the mapped neural activity and the mapped verbal reaction of the first user. The computing device may associate the high dimensional vector with the stimulus presented resulting in a thoughts model. The computing device may receive a second user's neural activity and compare that second user's neural activity to the thoughts model to identify the neural activity in the second user.Type: ApplicationFiled: November 17, 2017Publication date: March 28, 2019Inventors: Joseph N. Kozhaya, Ryan R. Anderson, Rama Kalyani T. Akkiraju
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Publication number: 20190090771Abstract: An embodiment of the invention may include a method, computer program product and computer system for neural activity interpretation. The method, computer program product and computer system may include a computing device that presents a first user with a stimulus and monitors and maps the neural activity of the first user. The computing device may receive the first user's verbal reaction to the stimulus and map the linguistic data of the first user's verbal reaction to form a high dimensional vector based on the relationships of the mapped neural activity and the mapped verbal reaction of the first user. The computing device may associate the high dimensional vector with the stimulus presented resulting in a thoughts model. The computing device may receive a second user's neural activity and compare that second user's neural activity to the thoughts model to identify the neural activity in the second user.Type: ApplicationFiled: September 27, 2017Publication date: March 28, 2019Inventors: Joseph N. Kozhaya, Ryan R. Anderson, Rama Kalyani T. Akkiraju
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Patent number: 10224032Abstract: A computer program product for determining an impact of a proposed dialog act in a conversation according to one embodiment includes a computer readable storage medium having program instructions embodied therewith. The computer readable storage medium is not a transitory signal per se. The program instructions are executable by a processor to cause the processor to perform a method comprising receiving textual data associated with a real-time conversation between a first participant and a second participant, receiving an objective of the first participant for the real-time conversation between the first participant and the second participant, receiving a proposed dialog act to be entered at a current point in the real-time conversation from the first participant, determining an impact of the proposed dialog act on the objective of the first participant, and performing one or more actions based on the impact of the proposed dialog act.Type: GrantFiled: April 19, 2017Date of Patent: March 5, 2019Assignee: International Business Machines CorporationInventors: Rama Kalyani T. Akkiraju, Mansurul Bhuiyan, Pritam S. Gundecha, Jalal U. Mahmud, Shereen Oraby, Vibha S. Sinha, Sabina Tomkins, Anbang Xu
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Publication number: 20180341632Abstract: A method, a computer program product, and an information handling system is provided for labeling unlabeled utterances given a taxonomy of labels utilizing topic word semi-supervised learning.Type: ApplicationFiled: May 23, 2017Publication date: November 29, 2018Inventors: Rama Kalyani T. Akkiraju, Vibha S. Sinha, Anbang Xu
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Publication number: 20180307674Abstract: A computer-implemented method according to one embodiment includes receiving, utilizing a processor, textual data associated with a real-time conversation between a first participant and a second participant, receiving, utilizing the processor, an objective of the first participant for the real-time conversation between the first participant and the second participant, determining, utilizing the processor, a dialog act to be entered by the first participant at a current point in the real-time conversation that meets the objective, utilizing a model, and returning, utilizing the processor, the dialog act to the first participant.Type: ApplicationFiled: June 8, 2017Publication date: October 25, 2018Inventors: Rama Kalyani T. Akkiraju, Mansurul Bhuiyan, Pritam S. Gundecha, Jalal U. Mahmud, Shereen Oraby, Vibha S. Sinha, Sabina Tomkins, Anbang Xu
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Publication number: 20180307672Abstract: A computer program product for recommending a dialog act to a participant in a conversation according to one embodiment includes a computer readable storage medium having program instructions embodied therewith. The computer readable storage medium is not a transitory signal per se, where the program instructions are executable by a processor to cause the processor to perform a method including receiving textual data associated with a real-time conversation between a first participant and a second participant, utilizing the processor, receiving an objective of the first participant for the real-time conversation between the first participant and the second participant, utilizing the processor, determining, utilizing the processor, a dialog act to be entered by the first participant at a current point in the real-time conversation that meets the objective, utilizing a model, and returning the dialog act to the first participant, utilizing the processor.Type: ApplicationFiled: April 19, 2017Publication date: October 25, 2018Inventors: Rama Kalyani T. Akkiraju, Mansurul Bhuiyan, Pritam S. Gundecha, Jalal U. Mahmud, Shereen Oraby, Vibha S. Sinha, Sabina Tomkins, Anbang Xu
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Publication number: 20180307675Abstract: A computer-implemented method according to one embodiment includes receiving, utilizing a processor, textual data associated with a real-time conversation between a first participant and a second participant, receiving, utilizing the processor, an objective of the first participant for the real-time conversation between the first participant and the second participant, receiving, utilizing the processor, a proposed dialog act to be entered at a current point in the real-time conversation from the first participant, determining, utilizing the processor, an impact of the proposed dialog act on the objective of the first participant, utilizing a model, and performing, utilizing the processor, one or more actions based on the impact of the proposed dialog act.Type: ApplicationFiled: June 8, 2017Publication date: October 25, 2018Inventors: Rama Kalyani T. Akkiraju, Mansurul Bhuiyan, Pritam S. Gundecha, Jalal U. Mahmud, Shereen Oraby, Vibha S. Sinha, Sabina Tomkins, Anbang Xu