Abstract:
In this modern era, Artificial Intelligence has emerged as the next data science powerhouse.
The use of Machine Learning, Deep Learning, and Computer Vision algorithms in data
analytics has become a popular trend since their introduction. However, applying Support
Vector Machine, Naïve Bayes, Convolution Neural Network, Long Short-Term memory in
different Bengali text classification tasks and study the performance of these models is yet to
be explored. Hence, in this paper, we have proposed different machine learning ad deep
learning based model building in order to classify 7 types of news category of Bengali
newspaper data. I have compared their all-accuracy level between all of the building model
SVM, Naïve Bayes, CNN, LSTM, CNN-LSTM and between all of them LSTM and CNN
have achieved fairly high accuracy with the containing of a 0.5(504266) million datasets.
