A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method

A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking Method

Online information has increased tremendously in today’s age of the Internet. As a result, the need has arisen to extract relevant content from the plethora of available information. Researchers are widely using automatic text summarization techniques for extracting useful and relevant in...

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Bibliographic Details
Main Authors: Amreen Ahmad, Tanvir Ahmad, Sarfaraz Masood, Mohd. Khizir Siddiqui, Basma Abd El-Rahiem, Pawel Plawiak, Fahad Alblehai
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Automatic text summarization
clustering
graph ranking
diversity
information coverage
Online Access:https://ieeexplore.ieee.org/document/10506498/

Internet

https://ieeexplore.ieee.org/document/10506498/

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