Abstract

Aspects of the disclosure are directed to real-time message sentiment augmentation by emojis. A large language model (LLM) can determine, for each message that is shared in a virtual chat, a presumed sentiment of an author of a message and a presumed audience reaction toward the latest message in the virtual chat. The LLM can identify an emoji that captures the presumed sentiment of the author. The LLM-identified emoji can be visually associated with an icon/avatar that corresponds to the author. The LLM can identify emojis that capture the presumed audience reaction toward the latest message in the virtual chat. The LLM-identified emojis can be visually associated with the latest message in the virtual chat.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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