Investigating the Effectiveness of Deep Learning and Machine Learning for Bangla Poems Genre Classification-Reference-Cited by-同舟云学术

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Investigating the Effectiveness of Deep Learning and Machine Learning for Bangla Poems Genre Classification

Published:2024-06-21 Issue: Volume:57 Page:1-6
ISSN:
Container-title:2023 4th International Conference on Intelligent Technologies (CONIT)
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Author:

Rayhanuzzaman ¹,Mahmud Tanjim²,Das Utpol Kanti¹,Naher Sultana Rokeya³,Hossain Mohammad Shahadat⁴,Andersson Karl⁵

Affiliation:

1. Port City International University,Dept. of CSE,Chittagong,Bangladesh

2. Rangamati Science and Technology University,Dept of CSE,Rangamati,Bangladesh,4500

3. University of Information Technology and Sciences,Dept. of CSE,Dhaka,Bangladesh

4. University of Chittagong,Dept. of CSE,Chittagong,Bangladesh,4331

5. Luleåa University of Technology,Cybersecurity Laboratory,Luleåa,Sweden,97187

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625770/10625923/10627555.pdf?arnumber=10627555

Reference42 articles.

1. A Stylometric Dataset for Bengali Poems

2. The balladic empire: Nineteenth-century poetry, british imperial identity, and the idea of the ballad;Schulz,2023

3. A Transfer Learning-Based Framework: MobileNet-SVM for Efficient Tomato Leaf Disease Classification

4. Automatic Vulgar Word Extraction Method with Application to Vulgar Remark Detection in Chittagonian Dialect of Bangla

5. Protein Sequence Classification Through Deep Learning and Encoding Strategies

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