A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2022.

Bibliographische Detailangaben
1. Verfasser: Shakil, Mahmudul Hasan
Weitere Verfasser: Alam, Md.Golam Robiul
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2023
Schlagworte:
Online Zugang:http://hdl.handle.net/10361/17931
id 10361-17931
record_format dspace
spelling 10361-179312023-03-22T05:19:55Z A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation Shakil, Mahmudul Hasan Alam, Md.Golam Robiul Department of Computer Science and Engineering, Brac University Cyberbully Natural Language Processing Transformer CNN BiLSTM Machine Learning Explainable AI. Machine learning. Artificial intelligence. This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 90-96). Data innovation has moved quickly in recent years, and various unfavorable alter ations have been made to the network medium. Social media platforms like Face book, Twitter, and Instagram are becoming more and more popular because they allow users to express their opinions through messages, photographs, and notes. In particular, in Bangladesh and other locations where the Bengali language is spoken. In any case, it has regrettably turned into a space with toxic remarks, cyberbully ing, and unidentified hazards. Numerous studies have been conducted in this area, but none have produced accurate results. Some effective pre-trained transformer models have been introduced. To identify Bengali malicious and non-malicious text at an early stage using simple Natural Language Processing (NLP). This study sug gests a Convolutional Neural Network with Bi-Directional Long Short-Term Memory (CNN-BiLSTM) hybrid strategy. This model can also classify any Bengali text data into six levels. Additionally, the transformed dataset is subjected to several conven tional Machine Learning methods using an estimator, and Explainable AI interprets these techniques (XAI). In the last stage, Stacking Classifier which is superior to any prior activity is used to ensemble all classifiers and the estimator. Mahmudul Hasan Shakil M. Computer Science and Engineering 2023-03-01T09:24:05Z 2023-03-01T09:24:05Z 2022 2022-09 Thesis ID: 21166034 http://hdl.handle.net/10361/17931 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 96 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Cyberbully
Natural Language Processing
Transformer
CNN
BiLSTM
Machine Learning
Explainable AI.
Machine learning.
Artificial intelligence.
spellingShingle Cyberbully
Natural Language Processing
Transformer
CNN
BiLSTM
Machine Learning
Explainable AI.
Machine learning.
Artificial intelligence.
Shakil, Mahmudul Hasan
A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
description This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, 2022.
author2 Alam, Md.Golam Robiul
author_facet Alam, Md.Golam Robiul
Shakil, Mahmudul Hasan
format Thesis
author Shakil, Mahmudul Hasan
author_sort Shakil, Mahmudul Hasan
title A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
title_short A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
title_full A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
title_fullStr A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
title_full_unstemmed A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
title_sort hybrid deep learning model and explainable ai-based bengali hate speech multi-label classification and interpretation
publisher Brac University
publishDate 2023
url http://hdl.handle.net/10361/17931
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