Bangla Text Emotion Classification using LR, MNB and MLP with TF-IDF & CountVectorizer-Reference-Cited by-同舟云学术

Bangla Text Emotion Classification using LR, MNB and MLP with TF-IDF & CountVectorizer

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Computer Science and Engineering Conference (ICSEC)
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Author:

Ahmed Tamal¹,Mukta Shawly Folia²,Al Mahmud Tamim³,Hasan Sakib Al⁴,Gulzar Hussain Md²

Affiliation:

1. Pabna University of Science and Technology,Electronic and Telecommunication Engineering,Pabna,Bangladesh

2. Changzhou University,School of Computer Science and Artificial Intelligence,Jiangsu,China

3. Green University of Bangladesh,Department of Computer Science and Engineering,Dhaka,Bangladesh,1207

4. Huzhou University,Intelligent Information Processing Technology,China

Funder

Green University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10049307/10049308/10049341.pdf?arnumber=10049341

Reference16 articles.

1. Document Level Emotion Detection from Bangla Text Using Machine Learning Techniques

2. Detecting Multilabel Sentiment and Emotions from Bangla YouTube Comments

3. Scikit-learn: Machine learning in Python;pedregosa;Journal of Machine Learning Research,2011

4. Bemod: development of bengali emotion dataset for classifying expressions of emotion in texts;das;International Conference on Intelligent Computing and Optimization,2020

5. Emotion detection from bangla text corpus using naive bayes classifier;azmin;2019 4th International Conference on Electrical Information and Communication Technology (EICT),2019

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