US 2026/0099682 A1 · AI TEXT ANALYSIS SYSTEM TO ACCELERATE ACADEMIC RESEARCH

Abstract

This platform features an AI-based text analysis system centered around a BERT (Bidirectional Encoder Representations from Transformers) model, fine-tuned for analyzing academic and industry literature. It includes a user-friendly interface linked to academic databases, enabling efficient retrieval and detailed analysis of pertinent papers. The enhanced BERT model processes these documents, extracting essential information and generating concise summaries, displayed on an interactive dashboard that highlights literature trends and relationships. The system supports multilingual queries and searches conference presentations, enhancing its versatility. A named entity recognition module identifies critical elements like datasets and methodologies. A standout feature is the integration of a Student Information System (SIS), which incorporates data on students' extracurricular activities related to decision-making. This aids educational institutions and employers by providing insights into students' leadership and problem-solving skills. This comprehensive tool streamlines the literature review process and supports informed decision-making through advanced text analysis and integrated student data.

Claims18

Dependent claims

A computer-implemented platform for conducting academic research through the identification, analysis, and synthesis of existing scholarly papers related to a specific research theme to identify current consensus or non-consensus within a specific research realm wherein said platform is comprised of:

cloud infrastructure;
a web-based responsive interface accessible through browsers and mobile devices;
an Application Programming Interface (API) gateway;
a user dashboard;
a Bidirectional Encoder Representations from Transformers (BERT) model fine-tuned on academic literature;
a server or servers;
a display;
a connection to academic databases;
and
a processing unit managing;
BERT extracted information comprising the main findings, methodologies used, and datasets employed;
search queries;
retrieved papers from one or more academic research databases based on search queries;
data integration;
alternative keyword suggestions for further searching;
authentication and authorization;
load balancing;
containerization;
caching;
message queueing;
ranking papers based on the number of keywords present the number of sentences responsive to a search query;
synthesis of existing scholarly papers;
visualizations of relationships between the different papers;
visualizations highlighting trends or patterns in the literature regarding common themes or recurring research gaps;
visualizations showing connections between different papers regarding shared methodologies, datasets, or findings.

22 more elements

Dependencies are inferred from the claim text.

Ai text analysis system to accelerate academic research

Life of this patent

Ai text analysis system to accelerate academic research

Life of this patent

Abstract

Claims18