Microsoft patents meeting summaries that read emoji reactions
Microsoft has filed a patent for a system that uses emoji reactions in meetings to help AI create smarter summaries. The technology links specific emojis to feelings like confusion or excitement, allowing the AI to highlight not just what was said, but how participants felt about it. This helps identify unresolved questions and areas needing follow-up based on the group's emotional response.
In the filing’s own words
The techniques disclosed herein leverage emoji reactions during meetings to dynamically create AI-enhanced summaries that capture both the content and sentiment of the discussion. This approach prioritizes key takeaways, highlights areas needing clarification or action, and tailors insights based on role-specific feedback. By integrating sentiment analysis into meeting summaries, this innovation ensures greater team alignment and actionable outcomes. The described features reimagine the way emoji reactions are leveraged during meetings to create intelligent and actionable AI-generated summaries. By interpreting emojis as real-time indicators of sentiment and engagement, the system dynamically highlights key discussion points, unresolved questions, and areas requiring follow-up.
What exactly they claim (claim 1)
1. A computer-implemented method for generating a meeting summary based on meeting content comprising text communication and expressive illustrations (emojis), the computer-implemented method for execution on a system comprising: receiving the meeting content that is communicated between a plurality of participants of a meeting, the meeting content comprising expressive illustrations (emojis) each communicated from individual participants of the meeting, the meeting content further comprising sections of text that is derived from messages communicated between the plurality of participants and comments within files shared between the plurality of participants, wherein the expressive illustrations are each associated with at least one section of text; generating a prompt comprising: grounding data that associates individual expressive illustrations with individual sentiment descriptions, wherein an individual class of the expressive illustrations is associated with an individual sentiment description, meeting content comprising the sections of text derived from messages communicated between the plurality of participants and the comments within the files shared between the plurality of participants, and data defining an association between each of the expressive illustrations and at least one section of text, wherein each section of text is associated with at least one message or at least one at least one comment; instructions for causing a Large Language Model to generate a meeting summary describing one or more topics of the meeting content and a summary of one or more individual sentiment descriptions associated with the one or more topics, the summary describing the one or more individual sentiment descriptions characterized by a number of occurrences of individual categories of the expressive illustrations, the instructions are further configured to cause the LLM to generate a description associating the one or more topics with the summary of one or more individual sentiment descriptions; communicating of the prompt to the LLM causing the LLM to generate the meeting summary describing the one or more topics of the meeting content and one or more individual sentiment descriptions that is based on the number of occurrences of individual categories of the expressive illustrations, the prompt further causing the LLM to generate the description associating the one or more topics with the one or more individual sentiment descriptions; receiving the meeting summary describing the one or more topics of the meeting content and one or more individual sentiment descriptions; and causing a display of the meeting summary describing the one or more topics of the meeting content and the summary of one or more individual sentiment descriptions, wherein the meeting summary also includes the description associating the one or more topics with the summary of one or more individual sentiment descriptions.
Facts
- Company
- Microsoft (MICROSOFT TECHNOLOGY LICENSING, LLC)
- Official title
- EMOJI-DRIVEN INTELLIGENT AI SUMMARIES FOR MEETINGS
- Publication number
- US20260303393A1
- Application number
- 19093074
- Filed
- Mar 27, 2025
- Published
- Oct 1, 2026
- Inventors
- 1
- Claims
- 20
Classified under
H04L 12/1831 Electricity & electronicsG06F 16/345 Physics & computingG06Q 10/109 Physics & computingMore from Microsoft in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.
