Different Machine Learning based Approaches of Baseline and Deep Learning Models for Bengali News Categorization | Zendy

Mohammad Rabib | Zendy; Soikot Sarkar | Zendy; Moqsadur Rahman | Zendy

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Different Machine Learning based Approaches of Baseline and Deep Learning Models for Bengali News Categorization

Author(s) -

Mohammad Rabib,

Soikot Sarkar,

Moqsadur Rahman

Publication year - 2020

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2020920107

Subject(s) - bengali , computer science , artificial intelligence , baseline (sea) , categorization , newspaper , globe , preprocessor , deep learning , natural language processing , perspective (graphical) , field (mathematics) , machine learning , world wide web , advertising , oceanography , ophthalmology , medicine , mathematics , pure mathematics , business , geology

Today’s universe is the type of world where everyone thrives to live in virtual life. According to the perspective of the present time, the online news portal holds a major door to that gradually increasing greedy life. So around the globe, the various platform has been developed to fulfill the requirement of mankind. A heavy load of work has been carried out for making this platform autonomous in the English language. That’s why the machine learning approach is quite a fully developed field in English in news classification. But it can't be said the same for Bangla language. These put in the inspiration to do a research on this topic. So, here Bangla news which has been collected from newspapers and gathered around to make a Bengali Corpus. After preprocessing the news text, different sorts of procedures to classify the news text using baseline and deep learning models of Machine Learning are applied.

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