Patents by Inventor Luis Carlos Dos Santos Marujo
Luis Carlos Dos Santos Marujo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11934780Abstract: Embodiments of the present disclosure relate generally to systems for presenting content suggestions within a messaging interface. A content suggestion system performs operations that include: receiving inputs that include a text string into a messaging interface; parsing a keyword from the text string of the input in response to receiving the inputs; retrieving message content that includes at least a media item based on the keyword; and presenting a chat suggestion that includes the message content within the messaging interface, according to certain example embodiments.Type: GrantFiled: September 29, 2021Date of Patent: March 19, 2024Assignee: Snap Inc.Inventors: Mariya Apanovych, William Brendel, Oleksandr Grytsiuk, Yurii Husiev, Luis Carlos Dos Santos Marujo, Jeremy Voss
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Publication number: 20240045899Abstract: Example embodiments described herein relate to an icon based tagging system to associate a graphical icon (e.g., an emoji) with a data category, receive media content that includes a data object and the graphical icon, assign the media content to the data category based on the presence of the graphical icon within the media content, receive a search request that comprises search criteria that includes at least the graphical icon, and present a set of search results that include the media content in response to the search request.Type: ApplicationFiled: October 18, 2023Publication date: February 8, 2024Inventors: Luis Carlos Dos Santos Marujo, William Brendel
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Publication number: 20230418910Abstract: 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.Type: ApplicationFiled: September 11, 2023Publication date: December 28, 2023Inventors: Jianfei Yu, Luis Carlos Dos Santos Marujo, Venkata Satya Pradeep Karuturi, Leonardo Ribas Machado das Neves, Ning Xu, William Brendel
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Patent number: 11853399Abstract: 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.Type: GrantFiled: November 29, 2022Date of Patent: December 26, 2023Assignee: Snap Inc.Inventors: Jianfei Yu, Luis Carlos Dos Santos Marujo, Venkata Satya Pradeep Karuturi, Leonardo Ribas Machado das Neves, Ning Xu, William Brendel
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Patent number: 11841896Abstract: Example embodiments described herein relate to an icon based tagging system to associate a graphical icon (e.g., an emoji) with a data category, receive media content that includes a data object and the graphical icon, assign the media content to the data category based on the presence of the graphical icon within the media content, receive a search request that comprises search criteria that includes at least the graphical icon, and present a set of search results that include the media content in response to the search request.Type: GrantFiled: July 29, 2022Date of Patent: December 12, 2023Assignee: Snap Inc.Inventors: Luis Carlos Dos Santos Marujo, William Brendel
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Publication number: 20230297775Abstract: Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.Type: ApplicationFiled: May 25, 2023Publication date: September 21, 2023Inventors: Vitor Rocha de Carvalho, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves
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Patent number: 11704488Abstract: Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.Type: GrantFiled: December 7, 2021Date of Patent: July 18, 2023Assignee: Snap Inc.Inventors: Vitor Rocha de Carvalho, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves
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Publication number: 20230120887Abstract: 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.Type: ApplicationFiled: November 29, 2022Publication date: April 20, 2023Inventors: Jianfei Yu, Luis Carlos Dos Santos Marujo, Venkata Satya Pradeep Karuturi, Leonardo Ribas Machado das Neves, Ning Xu, William Brendel
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Patent number: 11620001Abstract: 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.Type: GrantFiled: August 27, 2020Date of Patent: April 4, 2023Assignee: Snap Inc.Inventors: William Brendel, Francesco Barbieri, Xin Chen, Wei Chu, Venkata Satya Pradeep Karuturi, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves
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Patent number: 11551042Abstract: 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.Type: GrantFiled: August 27, 2019Date of Patent: January 10, 2023Assignee: Snap Inc.Inventors: Jianfei Yu, Luis Carlos Dos Santos Marujo, Venkata Satya Pradeep Karuturi, Leonardo Ribas Machado das Neves, Ning Xu, William Brendel
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Publication number: 20220374465Abstract: Example embodiments described herein relate to an icon based tagging system to associate a graphical icon (e.g., an emoji) with a data category, receive media content that includes a data object and the graphical icon, assign the media content to the data category based on the presence of the graphical icon within the media content, receive a search request that comprises search criteria that includes at least the graphical icon, and present a set of search results that include the media content in response to the search request.Type: ApplicationFiled: July 29, 2022Publication date: November 24, 2022Inventors: Luis Carlos Dos Santos Marujo, William Brendel
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Patent number: 11507614Abstract: Example embodiments described herein relate to an icon based tagging system to associate a graphical icon (e.g., an emoji) with a data category, receive media content that includes a data object and the graphical icon, assign the media content to the data category based on the presence of the graphical icon within the media content, receive a search request that comprises search criteria that includes at least the graphical icon, and present a set of search results that include the media content in response to the search request.Type: GrantFiled: February 13, 2018Date of Patent: November 22, 2022Assignee: Snap Inc.Inventors: Luis Carlos Dos Santos Marujo, William Brendel
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Publication number: 20220217104Abstract: A content suggestion system to generate and cause display of a set of chat suggestions based on messages received at a client device. The content suggestions system is configured to display messages that include message content at a client device, and identify content selected by a user of the client device to be included in a response to the messages received at the client device. The content suggestion system tracks and stores a number of times in which a particular pair of content appear in succession in a chat context, and calculates a ranking of the content among a set of available content. When subsequent messages that include the content of the content pair are displayed at the client device, the content suggestion system retrieves and presents a set of content as suggestions, based on the corresponding ranks.Type: ApplicationFiled: March 24, 2022Publication date: July 7, 2022Inventors: Luis Carlos Dos Santos Marujo, Maria Pavlovskaia, William Brendel, Robert Cornelius Murphy
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Patent number: 11310176Abstract: A content suggestion system to generate and cause display of a set of chat suggestions based on messages received at a client device. The content suggestions system is configured to display messages that include message content at a client device, and identify content selected by a user of the client device to be included in a response to the messages received at the client device. The content suggestion system tracks and stores a number of times in which a particular pair of content appear in succession in a chat context, and calculates a ranking of the content among a set of available content. When subsequent messages that include the content of the content pair are displayed at the client device, the content suggestion system retrieves and presents a set of content as suggestions, based on the corresponding ranks.Type: GrantFiled: April 13, 2018Date of Patent: April 19, 2022Assignee: Snap Inc.Inventors: Luis Carlos Dos Santos Marujo, Maria Pavlovskaia, William Brendel, Robert Cornelius Murphy
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Publication number: 20220092261Abstract: Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.Type: ApplicationFiled: December 7, 2021Publication date: March 24, 2022Inventors: Vitor Rocha de Carvalho, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves
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Publication number: 20220083737Abstract: Embodiments of the present disclosure relate generally to systems for presenting content suggestions within a messaging interface. A content suggestion system performs operations that include: receiving inputs that include a text string into a messaging interface; parsing a keyword from the text string of the input in response to receiving the inputs; retrieving message content that includes at least a media item based on the keyword; and presenting a chat suggestion that includes the message content within the messaging interface, according to certain example embodiments.Type: ApplicationFiled: September 29, 2021Publication date: March 17, 2022Inventors: Mariya Apanovych, William Brendel, Oleksandr Grytsiuk, Yurii Husiev, Luis Carlos Dos Santos Marujo, Jeremy Voss
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Patent number: 11210467Abstract: Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.Type: GrantFiled: April 13, 2018Date of Patent: December 28, 2021Assignee: Snap Inc.Inventors: Vitor Rocha de Carvalho, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves
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Patent number: 11157694Abstract: Embodiments of the present disclosure relate generally to systems for presenting content suggestions within a messaging interface. A content suggestion system performs operations that include: receiving inputs that include a text string into a messaging interface; parsing a keyword from the text string of the input in response to receiving the inputs; retrieving message content that includes at least a media item based on the keyword; and presenting a chat suggestion that includes the message content within the messaging interface, according to certain example embodiments.Type: GrantFiled: August 14, 2018Date of Patent: October 26, 2021Assignee: Snap Inc.Inventors: Mariya Apanovych, William Brendel, Oleksandr Grytsiuk, Yurii Husiev, Luis Carlos Dos Santos Marujo, Jeremy Voss
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Publication number: 20200393915Abstract: 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.Type: ApplicationFiled: August 27, 2020Publication date: December 17, 2020Inventors: William Brendel, Francesco Barbieri, Xin Chen, Wei Chu, Venkata Sayya Pradeep Karuturi, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves
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Patent number: 10788900Abstract: 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.Type: GrantFiled: June 29, 2018Date of Patent: September 29, 2020Assignee: Snap Inc.Inventors: William Brendel, Francesco Barbieri, Xin Chen, Wei Chu, Venkata Satya Pradeep Karuturi, Luis Carlos Dos Santos Marujo, Leonardo Ribas Machado das Neves