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    TRANSPARENT AND CONTROLLABLE TOPIC MODELING
    12.
    发明公开
    TRANSPARENT AND CONTROLLABLE TOPIC MODELING 审中-公开

    公开(公告)号：US20230376518A1

    公开(公告)日：2023-11-23

    申请号：US17748263

    申请日：2022-05-19

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： RAGHU KIRAN GANTI ,  MUDHAKAR SRIVATSA ,  Shreeranjani Srirangamsridharan ,  Jae-Wook Ahn ,  Michele Merler ,  Dean Steuer

    IPC: G06F16/35 ,  G06F40/30 ,  G06F40/40

    CPC classification number: G06F16/358 ,  G06F40/30 ,  G06F40/40

    Abstract: Systems, methods and/or computer program products for controlling and visualizing topic modeling results using a topic modeling interface. The interface allows user directed exploration, understanding and control of topic modeling algorithms, while offering both semantic summaries and/or structure attribute explanations about results. Explanations and differentiations between results are presented using metrics such as cohesiveness and visual displays depicting hierarchical organization. Through user-manipulation of features of the interface, iterative changes are implemented through user-feedback, adjusting parameters, broadening or narrowing topic results, and/or reorganizing topics by splitting or merging topics. As users trigger visual changes to results being displayed, users can compare and contrast output from the topic modeling algorithm. With each change to parameters, users view different explanations informing the user why the changes being displayed occurred, providing users deeper understanding of the topic modeling process, how to manipulate parameters to achieve accurate topic results and adjust granularity of information presented.

    AUTOMATIC GENERATION OF CONTENT USING MULTIMEDIA
    13.
    发明申请
    AUTOMATIC GENERATION OF CONTENT USING MULTIMEDIA 有权

    公开(公告)号：US20210117736A1

    公开(公告)日：2021-04-22

    申请号：US16656389

    申请日：2019-10-17

    Applicant: International Business Machines Corporation

    Inventor： Michele Merler ,  Mauro Martino ,  Cicero NOGUEIRA DOS SANTOS ,  Alfio Massimiliano Gliozzo ,  John R. Smith

    IPC: G06K9/62 ,  G06N5/04 ,  G06N20/00 ,  G06N3/04 ,  G06N3/08

    Abstract: Techniques for content generation are provided. A plurality of discriminative terms is determined based at least in part on a first plurality of documents that are related to a first concept, and a plurality of positive exemplars and a plurality of negative exemplars are identified using the plurality of discriminative terms. A first machine learning (ML) model is trained to classify images into concepts, based on the plurality of positive exemplars and the plurality of negative exemplars. A second concept related to the first concept is then determined, based on the first ML model. A second ML model is trained to generate images based on the second concept, and a first image is generated using the second ML model. The first image is then refined using a style transfer ML model that was trained using a plurality of style images.

    Individual and user group attributes discovery and comparison from social media visual content
    14.
    发明授权
    Individual and user group attributes discovery and comparison from social media visual content 有权

    公开(公告)号：US10282677B2

    公开(公告)日：2019-05-07

    申请号：US14933842

    申请日：2015-11-05

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Michele Merler ,  Jae-Eun Park ,  John R. Smith ,  Rosario Uceda-Sosa

    IPC: G06N99/00 ,  H04N21/00

    Abstract: A method and system are provided. The method includes deriving a set of user attributes from an aggregate analysis of images and videos of a user. The deriving step includes recognizing, by a set of visual classifiers, semantic concepts in the images and videos of the user to generate visual classifier scores. The deriving step further includes deriving, by a statistical aggregator, the set of user attributes. The set of user attributes are derived by mapping the visual classifier scores to a taxonomy of semantic categories to be recognized in visual content. The deriving step also includes displaying, by an interactive user interface having a display, attribute profiles for the attributes and comparisons of the attribute profiles.

    Transparent and controllable topic modeling
    16.
    发明授权
    Transparent and controllable topic modeling 有权

    公开(公告)号：US11941038B2

    公开(公告)日：2024-03-26

    申请号：US17748263

    申请日：2022-05-19

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Raghu Kiran Ganti ,  Mudhakar Srivatsa ,  Shreeranjani Srirangamsridharan ,  Jae-Wook Ahn ,  Michele Merler ,  Dean Steuer

    IPC: G06F16/35 ,  G06F40/30 ,  G06F40/40

    CPC classification number: G06F16/358 ,  G06F40/30 ,  G06F40/40

    Abstract: Systems, methods and/or computer program products for controlling and visualizing topic modeling results using a topic modeling interface. The interface allows user directed exploration, understanding and control of topic modeling algorithms, while offering both semantic summaries and/or structure attribute explanations about results. Explanations and differentiations between results are presented using metrics such as cohesiveness and visual displays depicting hierarchical organization. Through user-manipulation of features of the interface, iterative changes are implemented through user-feedback, adjusting parameters, broadening or narrowing topic results, and/or reorganizing topics by splitting or merging topics. As users trigger visual changes to results being displayed, users can compare and contrast output from the topic modeling algorithm. With each change to parameters, users view different explanations informing the user why the changes being displayed occurred, providing users deeper understanding of the topic modeling process, how to manipulate parameters to achieve accurate topic results and adjust granularity of information presented.

    Systems and methods for inferring gender by fusion of multimodal content
    20.
    发明授权
    Systems and methods for inferring gender by fusion of multimodal content 有权
    通过融合多模态内容推断性别的系统和方法

    公开(公告)号：US09471851B1

    公开(公告)日：2016-10-18

    申请号：US14754012

    申请日：2015-06-29

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： Liangliang Cao ,  Michele Merler ,  John R. Smith

    IPC: G06K9/46 ,  G06K9/62 ,  G06K9/52 ,  G06F17/27

    CPC classification number: G06K9/628 ,  G06F17/2785 ,  G06K9/00288 ,  G06K9/00302 ,  G06K9/00362 ,  G06K9/00677 ,  G06K9/325 ,  G06K9/6293 ,  G06N5/04 ,  G06N7/005

    Abstract: A method and systems are provided. The method includes recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user. The method further includes performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions. The method also includes combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores, to infer a gender of a user.

    Abstract translation: 提供了一种方法和系统。 该方法包括识别一组图像中的语义概念，并为图像分配语义分数以预测用户的性别。 该方法还包括从图像中的视觉内容和文本内容执行性别预测，以分别产生基于视觉的性别预测和基于文本的性别预测。 该方法还包括结合使用多模态信息融合，基于视觉的性别预测，基于文本的性别预测和语义分数来推断用户的性别。

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