US 2026/0064754 A1 · SYSTEM AND METHOD FOR PROVIDING AGGREGATED SUMMARIES AND ASPECT SCORES FOR LARGE UNSTRUCTURED TEXTUAL DATA

Abstract

Embodiments described herein are generally related to data analytics environments, and to systems and methods for providing aggregated summaries and aspect scores associated with unstructured textual data. In accordance with an embodiment, the system uses a key-based or batch approach that assesses factors associated with an unstructured textual dataset, such as, for example, a total number of text entries per key, or the character length of each text entry. Based on a consideration of such factors, the system sends batches of text entries, and a prompt, to a large language model processor, to collect intermediate batch results. The intermediate batch results can be used first to develop a numerical score or summary for each key, directed to various aspects of interest within the data; and subsequently to generate aggregated summaries and/or aspect scores associated with the textual dataset, for use in displaying visualizations or returning additional analytical information.

Claims15

Dependent claims

A system for providing aggregated summaries and aspect scores for unstructured textual data, comprising:

a computer including one or more processors, that provides access to a data analytics environment;
and
wherein the system operates to build a summary and numerical rating for each of a plurality of keys associated with the textual data, including:
sending batches of text entries to a large language model to collect intermediate batch results;
using the intermediate batch results to build a numerical score and summary for each key;
and
subsequently generating aggregated summaries and aspect scores for the textual dataset, for use in displaying visualizations or returning additional analytical information.

4 more elements

A non-transitory computer readable storage medium, including instructions stored thereon which when read and executed by one or more computers cause the one or more computers to perform a method comprising:

building a summary and numerical rating for each of a plurality of keys associated with the textual data, including:
sending batches of text entries to a large language model to collect intermediate batch results;
using the intermediate batch results to build a numerical score and summary for each key;
and
subsequently generating aggregated summaries and aspect scores for the textual dataset, for use in displaying visualizations or returning additional analytical information.

2 more elements

Dependencies are inferred from the claim text.

System and method for providing aggregated summaries and aspect scores for large unstructured textual data

Life of this patent

System and method for providing aggregated summaries and aspect scores for large unstructured textual data

Life of this patent

Abstract

Claims15