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Reseach Article

Application of Text Mining on the Editorial of a Newspaper of Bangladesh

by Tarequl Islam Manir, Md. Moyazzem Hossain
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 11
Year of Publication: 2019
Authors: Tarequl Islam Manir, Md. Moyazzem Hossain

Tarequl Islam Manir, Md. Moyazzem Hossain . Application of Text Mining on the Editorial of a Newspaper of Bangladesh. International Journal of Computer Applications. 178, 11 ( May 2019), 23-29. DOI=10.5120/ijca2019918837

@article{ 10.5120/ijca2019918837,
author = { Tarequl Islam Manir, Md. Moyazzem Hossain },
title = { Application of Text Mining on the Editorial of a Newspaper of Bangladesh },
journal = { International Journal of Computer Applications },
issue_date = { May 2019 },
volume = { 178 },
number = { 11 },
month = { May },
year = { 2019 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2019918837 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:50:06.109460+05:30
%A Tarequl Islam Manir
%A Md. Moyazzem Hossain
%T Application of Text Mining on the Editorial of a Newspaper of Bangladesh
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 11
%P 23-29
%D 2019
%I Foundation of Computer Science (FCS), NY, USA

The development in the fields of web, digital libraries, technical documentation, and medical data has made it easier to access a larger amount of a textual document. Owing to the increasing demands to obtain knowledge from a large number of textual documents accessible on the web, text mining is gaining significant importance. The aim of this paper is to find the topmost ten frequent words of the whole writing of the Editorial writing appeared in the most popular Bangladeshi Daily English newspaper entitled “The Daily Star” over the period 01 January 2018 to 30 June 2018. Finally, we representation of text data visually with the help of word cloud. The results indicate that the most frequent word highlighted is ‘government’ in the writing of all months considered in this study. Also, the words “Bangladesh”, “Myanmar”, “people”, “must” and “will” emerge in the analysis.

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Index Terms

Computer Science
Information Sciences


Text Mining Editorial Frequent Words Information Extraction Word Cloud.