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

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
Authors:
Tarequl Islam Manir, Md. Moyazzem Hossain
10.5120/ijca2019918837

Tarequl Islam Manir and Md. Moyazzem Hossain. Application of Text Mining on the Editorial of a Newspaper of Bangladesh. International Journal of Computer Applications 178(11):23-29, May 2019. BibTeX

@article{10.5120/ijca2019918837,
	author = {Tarequl Islam Manir and 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 = {7},
	url = {http://www.ijcaonline.org/archives/volume178/number11/30575-2019918837},
	doi = {10.5120/ijca2019918837},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

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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Keywords

Text Mining; Editorial; Frequent Words; Information Extraction; Word Cloud.