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    Recommendation and translation of symbols
    4.
    发明授权
    Recommendation and translation of symbols 有权

    公开(公告)号：US11138386B2

    公开(公告)日：2021-10-05

    申请号：US16680536

    申请日：2019-11-12

    申请人： International Business Machines Corporation

    发明人： Sharon Chen ,  Jin Shi ,  Chao Yuan Huang ,  Pei-Yi Lin

    IPC分类号： G06F40/30 ,  H04L12/58 ,  G06F3/0484

    摘要： Aspects of the present disclosure relate to recommendation and translation of symbols. In some embodiments, the method includes receiving current text data from a sender, receiving a first set of historical text data for the sender, determining emoji use preference of the sender, analyzing the current text data for context that is representable by an emoji, selecting a first emoji based the context and the first set of historical text data, receiving a second set of historical text data for a recipient of the current text data, analyzing a contextual meaning of the selected emoji based on the first set of historical text data and the second set of historical text data, determining, based on the analyzing the contextual meaning of the selected emoji, that a second emoji would more closely match the context of the current text data, and sending the second emoji to the recipient.

    RECOMMENDATION AND TRANSLATION OF SYMBOLS
    5.
    发明申请
    RECOMMENDATION AND TRANSLATION OF SYMBOLS 有权

    公开(公告)号：US20210141866A1

    公开(公告)日：2021-05-13

    申请号：US16680536

    申请日：2019-11-12

    申请人： International Business Machines Corporation

    发明人： Sharon Chen ,  Jin Shi ,  Chao Yuan Huang ,  Pei-Yi Lin

    IPC分类号： G06F17/27 ,  H04L12/58

    摘要： Aspects of the present disclosure relate to recommendation and translation of symbols. In some embodiments, the method includes receiving current text data from a sender, receiving a first set of historical text data for the sender, determining emoji use preference of the sender, analyzing the current text data for context that is representable by an emoji, selecting a first emoji based the context and the first set of historical text data, receiving a second set of historical text data for a recipient of the current text data, analyzing a contextual meaning of the selected emoji based on the first set of historical text data and the second set of historical text data, determining, based on the analyzing the contextual meaning of the selected emoji, that a second emoji would more closely match the context of the current text data, and sending the second emoji to the recipient.

    Crowd sourcing accessibility rendering system for non-accessible applications
    6.
    发明授权
    Crowd sourcing accessibility rendering system for non-accessible applications 有权

    公开(公告)号：US10379840B2

    公开(公告)日：2019-08-13

    申请号：US15788525

    申请日：2017-10-19

    申请人： International Business Machines Corporation

    发明人： Sharon Chen ,  Louis Huang ,  Gary Lin ,  Pei-Yi Lin ,  Jin Shi

    IPC分类号： G06F9/44 ,  G06F8/656 ,  G06F9/445

    摘要： Techniques facilitating a crowd-sourcing accessibility rendering system for non-accessible applications are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interaction component that monitors one or more interactions between one or more entities and a defined application. The computer executable components can also comprise an analysis component that determines accessibility related information associated with the defined application based on received feedback from an entity of the one or more entities. Further, the computer executable components can comprise an adjustment component that creates a modified application based on the one or more interactions and the accessibility related information of the defined application. The defined application is a non-disability accessible application and the modified application is a disability accessible application.

    CROWD-SOURCING ACCESSIBILITY RENDERING SYSTEM FOR NON-ACCESSIBLE APPLICATIONS
    8.
    发明申请
    CROWD-SOURCING ACCESSIBILITY RENDERING SYSTEM FOR NON-ACCESSIBLE APPLICATIONS 审中-公开

    公开(公告)号：US20190121633A1

    公开(公告)日：2019-04-25

    申请号：US15788525

    申请日：2017-10-19

    申请人： International Business Machines Corporation

    发明人： Sharon Chen ,  Louis Huang ,  Gary Lin ,  Pei-Yi Lin ,  Jin Shi

    IPC分类号： G06F9/445

    CPC分类号： G06F8/656 ,  G06F9/44526 ,  G06F16/9574

    摘要： Techniques facilitating a crowd-sourcing accessibility rendering system for non-accessible applications are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an interaction component that monitors one or more interactions between one or more entities and a defined application. The computer executable components can also comprise an analysis component that determines accessibility related information associated with the defined application based on received feedback from an entity of the one or more entities. Further, the computer executable components can comprise an adjustment component that creates a modified application based on the one or more interactions and the accessibility related information of the defined application. The defined application is a non-disability accessible application and the modified application is a disability accessible application.

    ANALYZING AND WEIGHTING MEDIA INFORMATION
    9.
    发明申请
    ANALYZING AND WEIGHTING MEDIA INFORMATION 审中-公开

    公开(公告)号：US20190087424A1

    公开(公告)日：2019-03-21

    申请号：US15706659

    申请日：2017-09-15

    申请人： International Business Machines Corporation

    发明人： Jacqueline Cheng ,  Micky Chiang ,  Di Ling Chen ,  Sharon Chen ,  Si Er Han ,  PEI-YI LIN

    IPC分类号： G06F17/30 ,  G10L15/18 ,  G10L25/63 ,  G10L15/22

    摘要： Speech-to-text analysis, emotion analysis, and time analysis are performed on a media file by a data processing system. The media file is divided, by the data processing system, into a first fragment and a second fragment based at least in part on the speech-to-text analysis, the emotion analysis, and the time analysis. Semantic analysis is performed, by the data processing system, on the first fragment and the second fragment based on a search query for the media file. A first weight is provided for the first fragment and a second weight is provided for the second fragment based on the semantic analysis, the emotion analysis, and the time analysis. The data processing system stores the first weight in association with the first fragment and the second weight in association with the second fragment.