The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 24, 2022

Filed:

Jun. 11, 2021
Applicants:

Ana Novak, Brighton, AU;

Mathieu Julien Rainville Wells, Saint-Lazare, CA;

Neil Teitelbaum, Ottawa, CA;

Inventors:

Ana Novak, Brighton, AU;

Mathieu Julien Rainville Wells, Saint-Lazare, CA;

Neil Teitelbaum, Ottawa, CA;

Assignee:

Winter Chat Pty Ltd, Brighton, AU;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 16/33 (2019.01); G06N 20/00 (2019.01); G06F 40/279 (2020.01);
U.S. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 16/3344 (2019.01); G06F 40/279 (2020.01); G06N 20/00 (2019.01);
Abstract

A semantic messaging collaboration (SMC) system using simultaneous post, user and user-post interaction tagging. The system includes a natural language processing (NLP) engine, statistics engine, tag management engine and a story engine. The NLP engine is configured to: a) identify topics that appear in a select conversation b) analyze user expertise from available sources, and c) analyze posts with respect to sentiment. The statistics engine is configured to generate descriptive statistics from available system information on user-post interactions, as well as select outputs from NLP engine. The tag management engine generates and collates system tags. The SMC tagging system along with advanced rule-based filtering capability, enables users to effectively organize conversations, find and extract precise uncluttered information, and in the story engine combine the information into a semantic output for human interpretation—such as summary documents, meeting notes, feedback reports, agendas, presentations or other.


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