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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.
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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
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.
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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.
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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.
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公开(公告)号:US11620001B2
公开(公告)日:2023-04-04
申请号:US16948018
申请日:2020-08-27
Applicant: Snap Inc.
Inventor: William Brendel , Francesco Barbieri , Xin Chen , Wei Chu , Venkata Satya Pradeep Karuturi , Luis Carlos Dos Santos Marujo , Leonardo Ribas Machado das Neves
IPC: G06F40/166 , G06F3/023 , G06N3/084 , G06K9/62 , G06F3/04817 , H04L51/04 , G06F40/274
Abstract: Symbol prediction can be implemented using a multi-task system trained for different tasks. The tasks may include a single symbol prediction, symbol category prediction, and symbol subcategory prediction. Categories of symbols can be generated by clustering sets of training data using a clustering scheme.
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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.
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公开(公告)号:US10788900B1
公开(公告)日:2020-09-29
申请号:US16023912
申请日:2018-06-29
Applicant: Snap Inc.
Inventor: William Brendel , Francesco Barbieri , Xin Chen , Wei Chu , Venkata Satya Pradeep Karuturi , Luis Carlos Dos Santos Marujo , Leonardo Ribas Machado das Neves
IPC: G06F17/27 , G06F3/023 , G06N3/08 , G06K9/62 , G06F3/0481 , H04L12/58 , G06F40/166 , G06F40/274
Abstract: Symbol prediction can be implemented using a multi-task system trained for different tasks. The tasks may include a single symbol prediction, symbol category prediction, and symbol subcategory prediction. Categories of symbols can be generated by clustering sets of training data using a clustering scheme.
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