Abstract: A computerized method for extracting domain specific insights from a corpus of files containing large documents comprising: breaking down large chunks of text into smaller sentences/short paragraphs in a domain specific way, identifying and removing domain noise; identifying the sentence intents of the non-noise sentences; tagging the sentences with other domain specific attributes; defining a semantic ontology using a graph database based on the sentence intents, a multitude of mini-dictionaries and domain attributes; applying a pre-defined ontology to tag documents with domain specific hashtags; and combining the hashtags using machine learning techniques into insights.
Type:
Grant
Filed:
November 14, 2022
Date of Patent:
February 13, 2024
Assignee:
Charlee.ai, Inc.
Inventors:
Ramaswamy Venkateshwaran, Sri Ramaswamy, John Standish, Tim Evans
Abstract: A computerized method for extracting domain specific insights from a corpus of files containing large documents comprising: breaking down large chunks of text into smaller sentences/short paragraphs in a domain specific way, identifying and removing domain noise; identifying the sentence intents of the non-noise sentences; tagging the sentences with other domain specific attributes; defining a semantic ontology using a graph database based on the sentence intents, a multitude of mini-dictionaries and domain attributes; applying a pre-defined ontology to tag documents with domain specific hashtags; and combining the hashtags using machine learning techniques into insights.
Type:
Grant
Filed:
February 7, 2023
Date of Patent:
October 24, 2023
Assignee:
Charlee.ai, Inc.
Inventors:
Ramaswamy Venkateshwaran, Sri Ramaswamy, John Standish, Tim Evans