Samsung Electronics Co., Ltd.

Vinod Cherian Joseph

Moiz Sonasath

Kaushik Roy

Kundan Kumar Lucky

Pradeep Dwarakanath

Youn Heo

Homayoon Shahinfar

Gert-Jan Van Lieshout

Varun Nambikrishnan

Tuomo Sipila

A method for identifying cyberbullying may include obtaining content from a first electronic device associated with a first user; identifying, using a machine learning model, the cyberbullying of the first user based on the content obtained from the first electronic device; and providing anonymized information related to the cyberbullying to a second electronic device associated with a second user.

System and method for cyberbullying detection

In particular embodiments, an apparatus comprises a non-transitory computer-readable storage media and a processor coupled to the media executes instructions to: access a plurality of text, generate, using one or more natural language understanding (NLU) models, one or more scores for at least a portion of the plurality of text. The apparatus determines, based on the scores, one or more prosodic values corresponding to the portion of the plurality of text. The apparatus determines, based on the one or more prosodic values, one or more speech synthesis markup language (SSML) tags. The apparatus then generates, based on the prosodic values, SSML-tagged data comprising each determined SSML tag and that tag's location in the plurality of text.

Automatically generating speech markup language tags for text

A method, electronic device, and non-transitory computer readable medium for a mobile wallet remittance are provided. The method includes receiving a request to remit money from a sender to a receiver, wherein the request includes transaction information. The method also includes generating a list of eligible providers from a plurality of providers based on the transaction information. Additionally, the method includes notifying a provider to transfer the money when an indication is received that a provider is selected from the list of eligible providers.

System and method for mobile wallet remittance

A method includes obtaining acoustic event information from at least one device, the acoustic event information associated with a first activity, at least a portion of the acoustic event information associated with sounds originating from a plurality of individuals in an identified group during a time period of the first activity. The method also includes categorizing the acoustic event information into a plurality of sound classes. The method also includes performing collaborative filtering on the plurality of sound classes. The method also includes determining one or more interests of the plurality of individuals in the identified group based on results of the collaborative filtering. The method also includes recommending a common activity for the identified group, based in part on the one or more interests of the plurality of individuals in the identified group.

System and method for prediction and recommendation using collaborative filtering

A method and apparatus are provided for determining a Transmission Power Control (TPC) command of an UpLink (UL) channel in a User Equipment (UE). The method includes storing TPC commands received through each Radio Link (RL) for preset combining periods, before entry into Discontinuous Transmission (DTX); combining the stored TPC commands; if all of the TPC commands are UP commands, determining a combined TPC command of the UL channel as a power level derived using a TPC command received in a designated previous DownLink (DL) slot among DL slots included in each RL, and controlling a transmit power of the UL channel, in a current DL slot which uplink transmission is resumed, using a power level corresponding to the determined TPC command.

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Fremont, CA, United States of America

Vinod Cherian Joseph