Extractive multi document summarization using harmony search algorithm

Zuhair Hussein Ali (Mustansiriyah University)
Ahmed Kawther Hussein (Mustansiriyah University)
Haithem Kareem Abass (Al-Mansour University College)
Elham Fadel (Mustansiriyah University)

TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 19, No 1: February 2021

The exponential growth of information on the internet makes it troublesome for users to get valuable information. Text summarization is the process to overcome such a problem. An adequate summary must have wide coverage, high diversity, and high readability. In this article, a new method for multi-document summarization has been supposed based on a harmony search algorithm that optimizes the coverage, diversity, and readability. Concerning the benchmark dataset Text Analysis Conference (TAC-2011), the ROUGE package used to measure the effectiveness of the proposed model. The calculated results support the effectiveness of the proposed approach.