Genre Classification: A Machine Learning Based Comparative Study of Classical Bengali Literature

Author:

Galib Asadullah Al1,Prima Maisha Mostofa1,Debi Satabdi Rani1,Mahadi Md Muntasir1,Ahmed Nayema1,Rhythm Ehsanur Rahman1,Amit Adib Muhammad1,Rasel Annajiat Alim1

Affiliation:

1. Brac University,School of Data and Sciences (SDS),Department of Computer Science and Engineering (CSE),Dhaka,Bangladesh,1212

Publisher

IEEE

Reference15 articles.

1. Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis;Yousef,2019

2. Book genre categorization using machine learning algorithms (k-nearest neighbor, support vector machine and logistic regression) using customized dataset;Panchal;Book Genre Categorization Using Machine Learning Algorithms (K-Nearest Neighbor, Support Vector Machine and Logistic Regression) using Customized Dataset,2021

3. Genre identification and the compositional effect of genre in literature;Worsham

4. Statistical and Deep Learning Approaches for Literary Genre Classification

5. Sentiment polarity detection in bengali tweets using multinomial Naïve Bayes and support vector machines

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