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AnswerThis: The AI Tool Transforming How Researchers Write Literature Reviews

In a world where research productivity and accuracy define progress, AnswerThis has emerged as one of the most powerful AI ...
IEEE

Extractive Text Summarization Using Formality of Language

Abstract: Automatic text summarization has been a prominent research topic for over a decade, aiming to distill concise summaries from extensive textual documents. This study introduces a novel ...
IEEE

Next-Generation Text Summarization: A T5-LSTM FusionNet Hybrid Approach for Psychological Data

Abstract: Automatic text summarization (ATS) has developed as a vital method for compressing massive amounts of textual content into concise and useful summaries, to retrieve more effective and useful ...
Journal of Medical Internet Research

Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based ...

A feature summarization approach, leveraging TF-IDF and K-means clustering, was employed to extract and distill key radiological findings related to three diseases. Simultaneously, the hybrid RAG ...