公开(公告)号：US20230260515A1

公开(公告)日：2023-08-17

申请号：US18305652

申请日：2023-04-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seohyun BACK ,  Yonghyun RYU ,  Wonho RYU ,  Haejun LEE ,  Cheolseung JUNG ,  Sai CHETAN ,  Jiyeon HONG

IPC: G10L15/22 ,  G06T13/00 ,  G10L15/16 ,  G06N3/08 ,  G10L15/18

CPC classification number: G10L15/22 ,  G06T13/00 ,  G10L15/16 ,  G06N3/08 ,  G10L15/1815 ,  G10L2015/223

Abstract: A method of improving output content through iterative generation is provided. The method includes receiving a natural language input, obtaining user intention information based on the natural language input by using a natural language understanding (NLU) model, setting a target area in base content based on a first user input, determining input content based on the user intention information or a second user input, generating output content related to the base content based on the input content, the target area, and the user intention information by using a neural network (NN) model, generating a caption for the output content by using an image captioning model, calculating similarity between text of the natural language input and the generated output content, and iterating generation of the output content based on the similarity.

公开(公告)号：US20130097159A1

公开(公告)日：2013-04-18

申请号：US13651962

申请日：2012-10-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Donghun PARK ,  Wonho RYU ,  Taehyun YOON ,  Ilhwan CHOI

IPC: G06F17/30

CPC classification number: G06Q30/02 ,  G06Q50/01

Abstract: A system and method is provided that collects and analyzes social media data and provides information regarding content that are popular to users or attract attention. The method includes creating a keyword related to the content;collecting social media data including the created keyword; analyzing the collected social media data, and extracting content-related information; associating social media data with the extracted content-related information; storing the content-related information; and providing the stored content-related information.

Abstract translation: 提供了收集和分析社交媒体数据并提供关于用户受欢迎的内容或引起注意的信息的系统和方法。 该方法包括创建与该内容相关的关键字; 收集包括创建的关键字在内的社交媒体数据; 分析收集的社交媒体数据，提取内容相关信息; 将社交媒体数据与提取的内容相关信息相关联; 存储内容相关信息; 并提供所存储的内容相关信息。

公开(公告)号：US20240079008A1

公开(公告)日：2024-03-07

申请号：US18503741

申请日：2023-11-07

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seohyun BACK ,  Yonghyun RYU ,  Wonho RYU ,  Haejun LEE ,  Cheolseung JUNG ,  Sai CHETAN ,  Jiyeon HONG

IPC: G10L15/22 ,  G06N3/08 ,  G06T13/00 ,  G10L15/16 ,  G10L15/18

CPC classification number: G10L15/22 ,  G06N3/08 ,  G06T13/00 ,  G10L15/16 ,  G10L15/1815 ,  G10L2015/223

Abstract: A method of improving output content through iterative generation is provided. The method includes receiving a natural language input, obtaining user intention information based on the natural language input by using a natural language understanding (NLU) model, setting a target area in base content based on a first user input, determining input content based on the user intention information or a second user input, generating output content related to the base content based on the input content, the target area, and the user intention information by using a neural network (NN) model, generating a caption for the output content by using an image captioning model, calculating similarity between text of the natural language input and the generated output content, and iterating generation of the output content based on the similarity.

公开(公告)号：US20210174801A1

公开(公告)日：2021-06-10

申请号：US17111734

申请日：2020-12-04

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seohyun BACK ,  Yonghyun RYU ,  Wonho RYU ,  Haejun LEE ,  Cheolseung JUNG ,  Sai CHETAN ,  Jiyeon HONG

IPC: G10L15/22 ,  G06T13/00 ,  G10L15/18 ,  G10L15/16 ,  G06N3/08

Abstract: A method of improving output content through iterative generation is provided. The method includes receiving a natural language input, obtaining user intention information based on the natural language input by using a natural language understanding (NLU) model, setting a target area in base content based on a first user input, determining input content based on the user intention information or a second user input, generating output content related to the base content based on the input content, the target area, and the user intention information by using a neural network (NN) model, generating a caption for the output content by using an image captioning model, calculating similarity between text of the natural language input and the generated output content, and iterating generation of the output content based on the similarity.