System and methods for quantitative assessment of information in natural language contents

Abstract

A method is disclosed for quantitatively assessing information in natural language contents related to an object name. The method includes identifying a sentence in a document, determining a subject and a predicate in the sentence, and retrieving an object-specific data set related to the object name. The object-specific data set includes property names and association-strength values. Each property name is associated with an association-strength value. The method also includes identifying a first property name in the property names that matches the subject, assigning a first association-strength value associated with the first property name to the subject, identifying a second property name in the property names that matches the predicate, assigning a second association-strength value associated with the second property name to the predicate, and multiplying the first association-strength value and the second association-strength value to produce a sentence information index.

Description

Systems and methods for quantitatively estimating information content in natural language content technical field This application relates to information management, and in particular to the identification and quantification of information in natural language content, as well as techniques for classifying, sorting, searching, and extracting such content. Background technique In the information age, more and more individuals and organizations are facing the problem of information overload. Precise and efficient information processing methods, including methods of collecting, storing, organizing, searching and extracting information, are the keys to success in this information age. A large amount of information is contained in natural language content, such as text files. In order to effectively organize and determine the relevance of information in natural language content, there have been many theoretical and practical attempts. However, existing technologies, including...

AI Technical Summary

Problems solved by technology

However, existing technologies, including various search engines and document classification systems, are often imprecise in identifying information foci in content, and thus often fail to effectively meet the information needs of their users

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