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

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

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 information. ATS reduces textual statistics into coherent and shorter versions especially focusing on psychol...

Celý popis

Podrobná bibliografie
Hlavní autoři: Bilal Khan, Muhammad Usman, Inayat Khan, Jawad Khan, Dildar Hussain, Yeong Hyeon Gu
Médium: Článek
Jazyk:English
Vydáno: IEEE 2025-01-01
Edice:IEEE Access
Témata:
Automatic text summarization
T5-LSTM FusionNet
psychology
natural language processing
machine learning
On-line přístup:https://ieeexplore.ieee.org/document/10903679/

Internet

https://ieeexplore.ieee.org/document/10903679/

Podobné jednotky