Abstract: The disclosed technology teaches a method for automatically generating a graphical summary of a meeting that provides a reflection of a group's conversation with textual and graphical elements in a tapestry. The method comprises a combination of transcript analysis using natural language processing or other machine learning models and automatic selection of graphic symbols detected as relevant to the transcript by statistical analyses. The method further includes the ability to interact with a generated tapestry for additional personalization.

Abstract: The disclosed technology teaches a method for automatically generating a graphical summary of a meeting that provides a reflection of a group's conversation with textual and graphical elements in a tapestry. The method comprises a combination of transcript analysis using natural language processing or other machine learning models and automatic selection of graphic symbols detected as relevant to the transcript by statistical analyses. The method further includes the ability to interact with a generated tapestry for additional personalization.

Abstract: The disclosed technology teaches a method for automatically generating a graphical summary of a meeting that provides a reflection of a group's conversation with textual and graphical elements in a tapestry. The method comprises a combination of transcript analysis, selection of graphic symbols detected as relevant to the transcript by statistical analyses, and design of a virtual tapestry involving the graphic symbols using a combination of natural language processing and other machine learning models.

Abstract: The disclosed technology teaches a method for interactively generating a graphical summary of a meeting that provides a reflection of a group's conversation with textual and graphical elements in a tapestry. The method comprises a combination of transcript analysis using natural language processing or other machine learning models and automatic selection of graphic symbols detected as relevant to the transcript by statistical analyses. The method further includes the ability to interact with a generated tapestry for additional customization, wherein a user's customization selection is fed back into the machine learning models to fine tune the result.

Abstract: The disclosed technology teaches a method for automatically generating a graphical summary of a meeting that provides a reflection of a group's conversation with textual and graphical elements in a tapestry. The method comprises a combination of transcript analysis using natural language processing or other machine learning models and automatic selection of graphic symbols detected as relevant to the transcript by statistical analyses. The method further includes the ability to interact with a generated tapestry for additional personalization.

Abstract: The disclosed technology teaches a method for automatically generating a graphical summary of a meeting that provides a reflection of a group's conversation with textual and graphical elements in a tapestry. The method comprises a combination of transcript analysis, selection of graphic symbols detected as relevant to the transcript by statistical analyses, and design of a virtual tapestry involving the graphic symbols using a combination of natural language processing and other machine learning models.

Abstract: The disclosed technology teaches a method for interactively generating a graphical summary of a meeting that provides a reflection of a group's conversation with textual and graphical elements in a tapestry. The method comprises a combination of transcript analysis using natural language processing or other machine learning models and automatic selection of graphic symbols detected as relevant to the transcript by statistical analyses. The method further includes the ability to interact with a generated tapestry for additional customization, wherein a user's customization selection is fed back into the machine learning models to fine tune the result.