公开(公告)号：US11853399B2

公开(公告)日：2023-12-26

申请号：US18059928

申请日：2022-11-29

Applicant: Snap Inc.

Inventor： Jianfei Yu ,  Luis Carlos Dos Santos Marujo ,  Venkata Satya Pradeep Karuturi ,  Leonardo Ribas Machado das Neves ,  Ning Xu ,  William Brendel

IPC: G06F40/30 ,  G06F18/2431 ,  G06N3/08 ,  G06N20/20 ,  G06F40/284 ,  G06N3/045 ,  G10L25/30 ,  G06F40/295 ,  G06F40/279 ,  G06F40/289 ,  G10L15/18 ,  G10L15/06

CPC classification number: G06F18/2431 ,  G06F40/284 ,  G06F40/30 ,  G06N3/045 ,  G06N3/08 ,  G06N20/20 ,  G06F40/279 ,  G06F40/289 ,  G06F40/295 ,  G10L15/06 ,  G10L15/1807 ,  G10L15/1815 ,  G10L15/1822 ,  G10L25/30

Abstract: Sentiment classification can be implemented by an entity-level multimodal sentiment classification neural network. The neural network can include left, right, and target entity subnetworks. The neural network can further include an image network that generates representation data that is combined and weighted with data output by the left, right, and target entity subnetworks to output a sentiment classification for an entity included in a network post.

公开(公告)号：US20230120887A1

公开(公告)日：2023-04-20

申请号：US18059928

申请日：2022-11-29

Applicant: Snap Inc.

Inventor： Jianfei Yu ,  Luis Carlos Dos Santos Marujo ,  Venkata Satya Pradeep Karuturi ,  Leonardo Ribas Machado das Neves ,  Ning Xu ,  William Brendel

IPC: G06K9/62 ,  G06F40/30 ,  G06F40/284 ,  G06N3/08 ,  G06N20/20 ,  G06N3/04

Abstract: Sentiment classification can be implemented by an entity-level multimodal sentiment classification neural network. The neural network can include left, right, and target entity subnetworks. The neural network can further include an image network that generates representation data that is combined and weighted with data output by the left, right, and target entity subnetworks to output a sentiment classification for an entity included in a network post.

公开(公告)号：US11551042B1

公开(公告)日：2023-01-10

申请号：US16552393

申请日：2019-08-27

Applicant: Snap Inc.

Inventor： Jianfei Yu ,  Luis Carlos Dos Santos Marujo ,  Venkata Satya Pradeep Karuturi ,  Leonardo Ribas Machado das Neves ,  Ning Xu ,  William Brendel

IPC: G06F40/30 ,  G06K9/62 ,  G06N3/08 ,  G06N20/20 ,  G06N3/04 ,  G06F40/284 ,  G10L25/30 ,  G06F40/295 ,  G06F40/279 ,  G06F40/289 ,  G10L15/18 ,  G10L15/16

Abstract: Sentiment classification can be implemented by an entity-level multimodal sentiment classification neural network. The neural network can include left, right, and target entity subnetworks. The neural network can further include an image network that generates representation data that is combined and weighted with data output by the left, right, and target entity subnetworks to output a sentiment classification for an entity included in a network post.

公开(公告)号：US20230418910A1

公开(公告)日：2023-12-28

申请号：US18244543

申请日：2023-09-11

Applicant: Snap Inc.

Inventor： Jianfei Yu ,  Luis Carlos Dos Santos Marujo ,  Venkata Satya Pradeep Karuturi ,  Leonardo Ribas Machado das Neves ,  Ning Xu ,  William Brendel

IPC: G06F18/2431 ,  G06N3/08 ,  G06N20/20 ,  G06F40/284 ,  G06F40/30 ,  G06N3/045

CPC classification number: G06F18/2431 ,  G06N3/08 ,  G06N20/20 ,  G06F40/284 ,  G06F40/30 ,  G06N3/045 ,  G10L25/30

Abstract: Sentiment classification can be implemented by an entity-level multimodal sentiment classification neural network. The neural network can include left, right, and target entity subnetworks. The neural network can further include an image network that generates representation data that is combined and weighted with data output by the left, right, and target entity subnetworks to output a sentiment classification for an entity included in a network post.

公开(公告)号：US12174921B2

公开(公告)日：2024-12-24

申请号：US18244543

申请日：2023-09-11

Applicant: Snap Inc.

Inventor： Jianfei Yu ,  Luis Carlos Dos Santos Marujo ,  Venkata Satya Pradeep Karuturi ,  Leonardo Ribas Machado das Neves ,  Ning Xu ,  William Brendel

IPC: G06F40/30 ,  G06F18/2431 ,  G06F40/284 ,  G06N3/045 ,  G06N3/08 ,  G06N20/20 ,  G06F40/279 ,  G06F40/289 ,  G06F40/295 ,  G10L15/06 ,  G10L15/16 ,  G10L15/18 ,  G10L25/30

Abstract: Sentiment classification can be implemented by an entity-level multimodal sentiment classification neural network. The neural network can include left, right, and target entity subnetworks. The neural network can further include an image network that generates representation data that is combined and weighted with data output by the left, right, and target entity subnetworks to output a sentiment classification for an entity included in a network post.