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A New Technique to Classification of Bengali News Grounded on ML and DL Models

by Tamim Al Mahmud, Sazeda Sultana, Antara Mondal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 18
Year of Publication: 2023
Authors: Tamim Al Mahmud, Sazeda Sultana, Antara Mondal
10.5120/ijca2023922897

Tamim Al Mahmud, Sazeda Sultana, Antara Mondal . A New Technique to Classification of Bengali News Grounded on ML and DL Models. International Journal of Computer Applications. 185, 18 ( Jun 2023), 15-21. DOI=10.5120/ijca2023922897

@article{ 10.5120/ijca2023922897,
author = { Tamim Al Mahmud, Sazeda Sultana, Antara Mondal },
title = { A New Technique to Classification of Bengali News Grounded on ML and DL Models },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2023 },
volume = { 185 },
number = { 18 },
month = { Jun },
year = { 2023 },
issn = { 0975-8887 },
pages = { 15-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number18/32795-2023922897/ },
doi = { 10.5120/ijca2023922897 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:29:21.049863+05:30
%A Tamim Al Mahmud
%A Sazeda Sultana
%A Antara Mondal
%T A New Technique to Classification of Bengali News Grounded on ML and DL Models
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 18
%P 15-21
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

News classification is the process of categorizing news articles into predefined categories based on their content. It involves utilizing techniques such as machine learning and NLP to analyze the textual features of news articles and assign them to relevant categories. This enables efficient organization and retrieval of news articles, aiding users in accessing information based on their interests. Many topics are covered by news, including local, national, and international news, politics, business, sports, and entertainment. In our native Bengali language, there are numerous classifications for news. The motivation for working in this research is because of the limited research in Bengali text and the scarcity of resources. This study proposed a new technique for the categorization of the news based on a comparison among different machine learning and deep learning model results. First, we have collected more than 20K data. Afterwards, applied several machine learning and deep learning models to pre-processed and cleaned data. Then apply our proposed technique on evaluated results produced by the machine learning and deep learning models to make a final decision to identify the news category. In our proposed technique, we counted the predicted categories from three types of Machine Learning models and two types of Deep Learning models. Finally, we computed the maximum predicted class and assigned the category for the specific news.

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Index Terms

Computer Science
Information Sciences

Keywords

Newspaper Classification Pre-Processing Data Visualization Splitting Dataset Tokenization Support Vector Machine Gated Recurrent Unit Singular Vector Decomposition Long Short-Term Memory Bag of Word Linear Support Vector Classification Random Forest

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