Research Article
Implementation of Extractive Text Summarization using Word Frequency in Python
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 184 - Issue 47 |
| Published: Feb 2023 |
| Authors: Ahmad Farhan Alshammari |
10.5120/ijca2023922583
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Ahmad Farhan Alshammari . Implementation of Extractive Text Summarization using Word Frequency in Python. International Journal of Computer Applications. 184, 47 (Feb 2023), 23-26. DOI=10.5120/ijca2023922583
@article{ 10.5120/ijca2023922583,
author = { Ahmad Farhan Alshammari },
title = { Implementation of Extractive Text Summarization using Word Frequency in Python },
journal = { International Journal of Computer Applications },
year = { 2023 },
volume = { 184 },
number = { 47 },
pages = { 23-26 },
doi = { 10.5120/ijca2023922583 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2023
%A Ahmad Farhan Alshammari
%T Implementation of Extractive Text Summarization using Word Frequency in Python%T
%J International Journal of Computer Applications
%V 184
%N 47
%P 23-26
%R 10.5120/ijca2023922583
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The goal of this research is to develop an extractive text summarization program using word frequency in Python. The steps of text summarization process are: preprocessing text, word-tokenization, creating bag of words, calculating word frequency, sentence-tokenization, calculating sentence score, calculating average score, and making summary. The developed program was examined on an experimental text from Wikipedia. The program performed the steps of text summarization and provided the required summary.
References
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