公开(公告)号：US11734508B2

公开(公告)日：2023-08-22

申请号：US17015629

申请日：2020-09-09

申请人： LINE Corporation

发明人： Hyukjae Jang

IPC分类号： G06F40/00 ,  G06F40/247 ,  G06F16/21 ,  G06F16/2455 ,  G06F16/36 ,  G06Q50/00 ,  G06F40/216 ,  G06F40/242 ,  G06F40/284

CPC分类号： G06F40/247 ,  G06F16/21 ,  G06F16/2455 ,  G06F16/36 ,  G06F40/216 ,  G06F40/242 ,  G06F40/284 ,  G06Q50/01

摘要： Provided is a method and system for expanding to an everyday language using a word vectorization technique based on social network content. A content providing method includes collecting social network content on the Internet; expanding corresponding content information to a word set of words included in the social network content with respect to target content that is to be serviced to a client; and providing the target content to the client with respect to user information associated with the client using the word set.

公开(公告)号：US11710330B2

公开(公告)日：2023-07-25

申请号：US16460980

申请日：2019-07-02

申请人： Microsoft Technology Licensing, LLC

发明人： Nathan Roy Evans ,  Christopher Miles White ,  Jonathan Karl Larson ,  Darren Keith Edge

IPC分类号： G06F16/906 ,  G06F16/901 ,  G06F40/216 ,  G06V30/414 ,  G06V30/416

CPC分类号： G06V30/414 ,  G06F16/906 ,  G06F16/9014 ,  G06F16/9024 ,  G06F40/216 ,  G06V30/416

摘要： Systems and methods for managing content provenance are provided. A network system accesses a plurality of documents. The plurality of documents is then hashed to identify one or more content features within each of the documents. In one embodiment, the hash is a MinHash. The network system compares the content features of each of the plurality of documents to determine a similarity score between each of the plurality of documents. In one embodiment, the similarly score is a Jaccard score. The network system then clusters the plurality of documents into one or more clusters based on the similarity score of each of the plurality of documents. In one embodiment, the clustering is performed using DBSCAN. DBSCAN can be iteratively performed with decreasing epsilon values to derive clusters of related but relatively dissimilar documents. The clustering information associated with the clusters are stored for use during runtime.

公开(公告)号：US20230222359A1

公开(公告)日：2023-07-13

申请号：US17572844

申请日：2022-01-11

申请人： Dell Products L.P.

发明人： Shibi Panikkar ,  Thirumaleshwara Shama ,  Jean Paul Sarkis

IPC分类号： G06N5/02 ,  H04L51/02 ,  G06F40/216

CPC分类号： G06N5/022 ,  H04L51/02 ,  G06F40/216

摘要： Conversational artificial intelligence techniques with live agent engagement based on automated frustration level monitoring are disclosed. For example, a method comprises obtaining, via a conversational artificial intelligence system, a frustration level metric associated with a user participating in a conversation with the conversational artificial intelligence system, The method further comprises managing, via the conversational artificial intelligence system, human agent engagement in the conversation based on the frustration level metric.

公开(公告)号：US11694024B2

公开(公告)日：2023-07-04

申请号：US17403830

申请日：2021-08-16

申请人： Google LLC

发明人： Fernanda Viégas ,  Martin Wattenberg ,  Daniel Smilkov ,  James Wexler ,  Daniel Gundrum

IPC分类号： G06F40/18 ,  G06F16/248 ,  G06F16/22 ,  G06F40/177 ,  G06F40/216 ,  G06F3/0482 ,  G06T11/20

CPC分类号： G06F40/18 ,  G06F3/0482 ,  G06F16/2282 ,  G06F16/248 ,  G06F40/177 ,  G06F40/216 ,  G06T11/206

摘要： A method for generating a chart suggestion list using data present in a data table includes providing the data table, one or more data types of a plurality of cells of the data table and one or more statistics pertaining to the plurality of cells as input to a machine learning model to obtain one or more outputs indicating one or more chart types for the data table, and creating one or more suggested charts based on the indicated chart types. Each of the one or more suggested charts represents at least a subset of the data in the data table. The method also includes generating a chart suggestion list including at least one of the one or more suggested charts.

公开(公告)号：US11687732B2

公开(公告)日：2023-06-27

申请号：US16841425

申请日：2020-04-06

申请人： Open Text Holdings, Inc.

发明人： Lei Shi ,  Partha Saradhi Govind ,  Paul Kieron Carl Narth ,  Aarthi Balasubramanian

IPC分类号： G06F40/40 ,  G06F16/33 ,  G06F9/451 ,  G06F40/47 ,  G06F40/216 ,  G06F40/58

CPC分类号： G06F40/40 ,  G06F9/454 ,  G06F16/3344 ,  G06F40/216 ,  G06F40/47 ,  G06F40/58

摘要： Systems, methods and products for automatic translation of content items, where in one embodiment a system includes one or more processors configured to identify components of a content item to be translated (translation items) and components not to be translated (non-translation items). The system generates a key-value pair corresponding to each translation item, where the key-value pair includes a key which comprises a unique identifier and a value which comprises a text string of the translation item. The system also generates a translation template that corresponds to the content item, wherein the translation template matches the content item except that the text string of each translation item is replaced by the key of the corresponding key-value pair. The system then provides a translation of each of the key-value pairs. The system generates a translated content item. By replacing each key in the translation template with the corresponding generated translation.

公开(公告)号：US11687579B2

公开(公告)日：2023-06-27

申请号：US16885404

申请日：2020-05-28

申请人： International Business Machines Corporation

发明人： Susumu Fukuda ,  Kenta Watanabe ,  Shunsuke Ishikawa ,  Takashi Fukuda

IPC分类号： G06F16/36 ,  G06N5/00 ,  G06F16/93 ,  G06F16/31 ,  G06F40/169 ,  G06F40/216 ,  G06F40/242

CPC分类号： G06F16/36 ,  G06F16/313 ,  G06F16/93 ,  G06F40/169 ,  G06F40/216 ,  G06F40/242 ,  G06N5/00 ,  G06F2216/03

摘要： Embodiments are directed to a system, computer program product, and method for text mining, and dynamic facet and facet value management and application to a document collection. Two or more words from a first document collection are extracted, with the extracted words being associated with an applied annotation. At least one word is selected from the extracted words, designated as a facet, and a value is selectively added to the facet. An analysis of the added value is dynamically performed, and a dictionary with the annotation, facet, and values is constructed and the dictionary is applied to the document collection. A targeted list of documents is returned from the dictionary application to the document collection.

公开(公告)号：US11687321B2

公开(公告)日：2023-06-27

申请号：US16199703

申请日：2018-11-26

申请人： Korea Invention Promotion Association

发明人： Jung Ae Kwak ,  Sang Youp Song ,  In Jae Park

IPC分类号： G06Q50/18 ,  G06F40/216 ,  G06Q30/02 ,  G06F7/00

CPC分类号： G06F7/00 ,  G06F40/216 ,  G06Q30/0278 ,  G06Q50/184

摘要： The method of building a patent valuation model includes acquiring patent information, processing the patent information and separately performing a plurality of multiple regression analyses in which a plurality of key valuation elements preset for a valuation index are dependent variables, calculating a representative value of a plurality of regression coefficients for each independent variable of a plurality of multiple regression models calculated through the plurality of multiple regression analyses, and generating a valuation model for the valuation index by building a valuation model in which the calculated representative values are coefficients for the respective independent variables.

公开(公告)号：US11657231B2

公开(公告)日：2023-05-23

申请号：US16915758

申请日：2020-06-29

申请人： QUALTRICS, LLC

发明人： John Hewitt

IPC分类号： G06F40/30 ,  G06N3/08 ,  G06N3/04 ,  G06F40/205 ,  G06F40/216 ,  G06F40/253 ,  G06F40/268 ,  G06F40/284

CPC分类号： G06F40/30 ,  G06F40/205 ,  G06F40/216 ,  G06F40/253 ,  G06F40/268 ,  G06F40/284 ,  G06N3/0445 ,  G06N3/08

摘要： The present disclosure relates to a response analysis system that employs a small-data training dataset to train a neural network that accurately performs domain-agnostic opinion mining. For example, in one or more embodiments, the response analysis system trains a response classification neural network using part of speech information (e.g., syntactic information) to learn and apply response classification labels for opinion text responses. In particular, the response analysis system employs part of speech information patterns without regard to word patterns to determine whether words in a text response correspond to an opinion, the target of the opinion, or neither. In addition, the trained response classification neural network has a significantly reduced learned parameter space, which decreases processing, memory requirements, and overall complexity.

公开(公告)号：US11640501B2

公开(公告)日：2023-05-02

申请号：US17048531

申请日：2019-04-12

申请人： Orphanalytics SA

发明人： Guy Genilloud ,  Alexandre-Pierre Cotty ,  Antoine Jover ,  Adrien Donnet-Monay ,  Florent Devillard ,  Constanze Andel Rimensberger ,  Valentin Roten ,  Stefan Codrescu ,  Alain Favre ,  Luc-Olivier Pochon ,  Lionel Pousaz ,  Claire Roten ,  Stéphanie Riand ,  Serge Nicollerat ,  Myriam Eugster ,  Jean-Luc Buhlmann ,  Léonard Andrè Henri Studer ,  Claude-Alain Roten

IPC分类号： G06F40/216 ,  G06F40/253 ,  G06K9/62

摘要： A method for verifying whether a queried text of less than 500 characters has been compiled by an author, comprising the following steps: multivariate statistical analysis of the queried text, for example, PCA or PCoA, in order to generate a matrix of coordinates in a space with N dimensions; hierarchical clustering of the points of this space that can be represented by a dendrogram; verification of the author of the queried text on the basis of this clustering.

公开(公告)号：US20230112740A1

公开(公告)日：2023-04-13

申请号：US18045039

申请日：2022-10-07

申请人： MOTIVE8 LEARNING LIMITED D/B/A PROGRESSAY

发明人： Moktar Alqaderi ,  Sainab Sharif

IPC分类号： G06F40/216 ,  G06F40/58

摘要： The present disclosure describes systems and methods for evaluating content using a machine learned model. In some examples, a supervised learning machine learned model may be used. In some examples, an unsupervised learning machine learned model may be used. In operation, a computing device may receive textual content from a user device. The computing device may, using the machine learned model, analyze the textual content and determine a content evaluation, in some examples, including a content score, for the textual content. In some examples, the analysis includes extracting features, metrics, or combinations thereof, of the textual content.