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Implementation of Text Summarization using Word Frequency in Python

by Ahmad Farhan AlShammari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 36
Year of Publication: 2023
Authors: Ahmad Farhan AlShammari
10.5120/ijca2023923154

Ahmad Farhan AlShammari . Implementation of Text Summarization using Word Frequency in Python. International Journal of Computer Applications. 185, 36 ( Oct 2023), 34-39. DOI=10.5120/ijca2023923154

@article{ 10.5120/ijca2023923154,
author = { Ahmad Farhan AlShammari },
title = { Implementation of Text Summarization using Word Frequency in Python },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2023 },
volume = { 185 },
number = { 36 },
month = { Oct },
year = { 2023 },
issn = { 0975-8887 },
pages = { 34-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number36/32924-2023923154/ },
doi = { 10.5120/ijca2023923154 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:57.114549+05:30
%A Ahmad Farhan AlShammari
%T Implementation of Text Summarization using Word Frequency in Python
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 36
%P 34-39
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The goal of this research is to develop a text summarization program using word frequency in Python. The purpose of text summarization is to provide a short and useful summary of the text. The word frequency is used to measure the importance of words and sentences in the text. The basic steps of text summarization are explained: preprocessing text, creating list of words, creating bag of words, creating word frequency, creating list of sentences, creating sentence score, sorting sentence score, calculating average score, and making summary. The developed program was tested on an experimental text from Wikipedia. The program successfully performed the basic steps of text summarization and provided the required results.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence Machine Learning Natural Language Processing Text Mining Text Summarization Word Frequency Python Programming.

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