Patents by Inventor Roni Romano
Roni Romano 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).
-
Patent number: 10191978Abstract: By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. The ontology is built on the premise that meaningful terms are detected in the corpus and then classified according to specific semantic concepts, or entities. Once the main terms are defined, direct relations or linkages can be formed between these terms and their associated entities. Then, the relations are grouped into themes, which are groups or abstracts that contain synonymous relations. The disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data.Type: GrantFiled: January 3, 2015Date of Patent: January 29, 2019Assignee: Verint Systems Ltd.Inventor: Roni Romano
-
Publication number: 20190018894Abstract: A faster and more streamlined system for providing summary and analysis of large amounts of communication data is described. System and methods are disclosed that employ an ontology to automatically summarize communication data and present the summary to the user in a form that does not require the user to listen to the communication data. In one embodiment, the summary is presented as written snippets, or short fragments, of relevant communication data that capture the meaning of the data relating to a search performed by the user. Such snippets may be based on theme and meaning unit identification.Type: ApplicationFiled: May 21, 2018Publication date: January 17, 2019Inventors: Roni Romano, Galia Zacay, Rahm Fehr
-
Patent number: 10078689Abstract: The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data.Type: GrantFiled: October 30, 2014Date of Patent: September 18, 2018Assignee: Verint Systems Ltd.Inventor: Roni Romano
-
Patent number: 9977830Abstract: A faster and more streamlined system for providing summary and analysis of large amounts of communication data is described. System and methods are disclosed that employ an ontology to automatically summarize communication data and present the summary to the user in a form that does not require the user to listen to the communication data. In one embodiment, the summary is presented as written snippets, or short fragments, of relevant communication data that capture the meaning of the data relating to a search performed by the user. Such snippets may be based on theme and meaning unit identification.Type: GrantFiled: January 30, 2015Date of Patent: May 22, 2018Assignee: VERINT SYSTEMS LTD.Inventors: Roni Romano, Galia Zacay, Rahm Fehr
-
Patent number: 9910845Abstract: The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the business environment by processing and analyzing a defined corpus of communication data. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The disclosed system and method further relates to leveraging the ontology to assess a dataset and conduct a funnel analysis to identify patterns, or sequences of events, in the dataset.Type: GrantFiled: December 8, 2016Date of Patent: March 6, 2018Assignee: VERINT SYSTEMS LTD.Inventors: Roni Romano, Rahm Fehr
-
Patent number: 9904927Abstract: Systems, methods, and media for the application of funnel analysis using desktop analytics and textual analytics to map and analyze the flow of customer service interactions. In an example implementation, the method includes: defining at least one flow that is representative of a series of events comprising at least one speech event, at least one Data Processing Activity (DPA) event, and at least one Computer Telephone Integration (CTI) event; receiving customer service interaction data comprising communication data, DPA metadata, and CTI metadata; applying the at least one flow to the customer service interaction data; determining if the customer service interaction data meets the at least one flow; and producing an automated indication based upon the determination.Type: GrantFiled: January 19, 2017Date of Patent: February 27, 2018Assignee: VERINT SYSTEMS LTD.Inventors: Rahm Fehr, Roni Romano, Omer Ziv
-
Publication number: 20170206893Abstract: Methods, systems, and computer readable media for automated transcription model adaptation includes obtaining audio data from a plurality of audio files. The audio data is transcribed to produce at least one audio file transcription which represents a plurality of transcription alternatives for each audio file. Speech analytics are applied to each audio file transcription. A best transcription is selected from the plurality of transcription alternatives for each audio file. Statistics from the selected best transcription are calculated. An adapted model is created from the calculated statistics.Type: ApplicationFiled: March 29, 2017Publication date: July 20, 2017Applicant: Verint Systems Ltd.Inventors: Ran Achituv, Omer Ziv, Roni Romano, Ido Shapira, Daniel Baum
-
Publication number: 20170200167Abstract: Systems, methods, and media for the application of funnel analysis using desktop analytics and textual analytics to map and analyze the flow of customer service interactions. In an example implementation, the method includes: defining at least one flow that is representative of a series of events comprising at least one speech event, at least one Data Processing Activity (DPA) event, and at least one Computer Telephone Integration (CTI) event; receiving customer service interaction data comprising communication data, DPA metadata, and CTI metadata; applying the at least one flow to the customer service interaction data; determining if the customer service interaction data meets the at least one flow; and producing an automated indication based upon the determination.Type: ApplicationFiled: January 19, 2017Publication date: July 13, 2017Inventors: Rahm Fehr, Roni Romano, Omer Ziv
-
Patent number: 9697246Abstract: An embodiment of the method of processing communication data to identify one or more themes within the communication data includes identifying terms in a set of communication data, wherein a term is a word or short phrase, and defining relations in the set of communication data based on the terms, wherein the relation is a pair of terms that appear in proximity to one another. The method further includes identifying themes in the set of communication data based on the relations, wherein a theme is a group of one or more relations that have similar meanings, and storing the terms, the relations, and the themes in the database.Type: GrantFiled: September 30, 2014Date of Patent: July 4, 2017Assignee: VERINT SYSTEMS LTD.Inventors: Roni Romano, Yair Horesh
-
Publication number: 20170154028Abstract: The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the business environment by processing and analyzing a defined corpus of communication data. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The disclosed system and method further relates to leveraging the ontology to assess a dataset and conduct a funnel analysis to identify patterns, or sequences of events, in the dataset.Type: ApplicationFiled: December 8, 2016Publication date: June 1, 2017Inventors: Roni Romano, Rahm Fehr
-
Patent number: 9633650Abstract: Methods, systems, and computer readable media for automated transcription model adaptation includes obtaining audio data from a plurality of audio files. The audio data is transcribed to produce at least one audio file transcription which represents a plurality of transcription alternatives for each audio file. Speech analytics are applied to each audio file transcription. A best transcription is selected from the plurality of transcription alternatives for each audio file. Statistics from the selected best transcription are calculated. An adapted model is created from the calculated statistics.Type: GrantFiled: May 30, 2014Date of Patent: April 25, 2017Assignee: Verint Systems Ltd.Inventors: Ran Achituv, Omer Ziv, Roni Romano, Ido Shapira, Daniel Baum
-
Patent number: 9575936Abstract: Machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment, and then provides that extracted knowledge in a word cloud user interface display capable of summarizing and conveying a vast amount of information to a user very quickly. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data. The developed ontology can be applied to process a dataset of communication information to create a word cloud that can provide a quick view into the content of the dataset, including information about the language used by participants in the communications, such as identifying for a user key phrases and terms, the frequency of those phrases, the originator of the terms of phrases, and the confidence levels of such identifications.Type: GrantFiled: July 16, 2015Date of Patent: February 21, 2017Assignee: VERINT SYSTEMS LTD.Inventors: Roni Romano, Galia Zacay, Rahm Fehr
-
Patent number: 9569743Abstract: Systems, methods, and media for the application of funnel analysis using desktop analytics and textual analytics to map and analyze the flow of customer service interactions. In an example implementation, the method includes: defining at least one flow that is representative of a series of events comprising at least one speech event, at least one Data Processing Activity (DPA) event, and at least one Computer Telephone Integration (CTI) event; receiving customer service interaction data comprising communication data, DPA metadata, and CTI metadata; applying the at least one flow to the customer service interaction data; determining if the customer service interaction data meets the at least one flow; and producing an automated indication based upon the determination.Type: GrantFiled: January 29, 2015Date of Patent: February 14, 2017Assignee: VERINT SYSTEMS LTD.Inventors: Rahm Fehr, Roni Romano, Omer Ziv
-
Patent number: 9542382Abstract: The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the business environment by processing and analyzing a defined corpus of communication data. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The disclosed system and method further relates to leveraging the ontology to assess a dataset and conduct a funnel analysis to identify patterns, or sequences of events, in the dataset.Type: GrantFiled: November 25, 2015Date of Patent: January 10, 2017Assignee: VERINT SYSTEMS LTD.Inventors: Roni Romano, Rahm Fehr
-
Patent number: 9477752Abstract: A method for developing an ontology for practicing communication data, wherein the ontology is a structural representation of language elements and the relationship between those language elements within the domain, includes providing a training set of communication data and processing the training set of communication data to identify terms within the training set of communication data, wherein a term is a word or short phrase. The method further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another. Finally, the terms in the relations are stored in a database.Type: GrantFiled: September 30, 2014Date of Patent: October 25, 2016Assignee: VERINT SYSTEMS INC.Inventor: Roni Romano
-
Publication number: 20160154782Abstract: The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the business environment by processing and analyzing a defined corpus of communication data. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The disclosed system and method further relates to leveraging the ontology to assess a dataset and conduct a funnel analysis to identify patterns, or sequences of events, in the dataset.Type: ApplicationFiled: November 25, 2015Publication date: June 2, 2016Inventors: Roni Romano, Rahm Fehr
-
Publication number: 20160019885Abstract: Machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment, and then provides that extracted knowledge in a word cloud user interface display capable of summarizing and conveying a vast amount of information to a user very quickly. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the domain or environment of the communication data by processing and analyzing a defined corpus of communication data. The developed ontology can be applied to process a dataset of communication information to create a word cloud that can provide a quick view into the content of the dataset, including information about the language used by participants in the communications, such as identifying for a user key phrases and terms, the frequency of those phrases, the originator of the terms of phrases, and the confidence levels of such identifications.Type: ApplicationFiled: July 16, 2015Publication date: January 21, 2016Inventors: Roni Romano, Galia Zacay, Rahm Fehr
-
Patent number: 9232063Abstract: The disclosed solution uses machine learning-based methods to improve the knowledge extraction process in a specific domain or business environment. By formulizing a specific company's internal knowledge and terminology, the ontology programming accounts for linguistic meaning to surface relevant and important content for analysis. Based on the self-training mechanism developed by the inventors, the ontology programming automatically trains itself to understand the business environment by processing and analyzing a defined corpus of communication data. For example, the disclosed ontology programming adapts to the language used in a specific domain, including linguistic patterns and properties, such as word order, relationships between terms, and syntactical variations. The disclosed system and method further relates to leveraging the ontology to assess a dataset and conduct a funnel analysis to identify patterns, or sequences of events, in the dataset.Type: GrantFiled: October 30, 2014Date of Patent: January 5, 2016Assignee: VERINT SYSTEMS INC.Inventors: Roni Romano, Rahm Fehr
-
Publication number: 20150220946Abstract: Improved systems and method as disclosed herein, provide automated analysis tools for more refined trend analysis and evaluation of identified trends. Communication data may be recognized as either audio or textual data which may be processed and analyzed in real-time (as in the case of streaming audio data) or processed at a time apart from the acquisition of the communication data. If the communication data is audio data, then the audio data, may undergo a transcription, which may employ the exemplary technique of large vocabulary continuous speech recognition (LVCSR) or other known speech-to-text algorithms or techniques. Alternatively, the communication data may already be in the form of a transcription or the communication data may have originated as textual data, exemplarily the communication data is from an internet web chat, email, text message, or social media.Type: ApplicationFiled: January 30, 2015Publication date: August 6, 2015Inventors: Yair Horesh, Roni Romano
-
Publication number: 20150220618Abstract: Systems, methods, and media for developing ontologies and analyzing communication data are provided herein. In an example implementation, the method includes: identifying terms in in a set of communication data; identifying a list of possible relations of the identified terms; scoring the possible relations according to a set of predefined merits; ranking the possible relations into a list of possible relations in descending order according to their score; and tagging relations in the set of communication data. The relations may be tagged by identifying the possible relations in the communication data in order corresponding with the list of possible relations. The possible relations that have lower rankings that conflict with higher ranking relations are not tagged. The conflicts may be determined by a predefined set of conflict criteria.Type: ApplicationFiled: January 29, 2015Publication date: August 6, 2015Inventors: Yair Horesh, Roni Romano, Uri Segal, Omer Ziv