Multi-modal hate speech detection using machine learning

Multi-modal hate speech detection using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliographic Details
Main Authors: Shill, Ponkoj Chandra, Boishakhi, Fariha Tahosin
Other Authors: Alam, Md Golam Rabiul
Format: Thesis
Language:English
Published: Brac University 2021
Subjects:
Audio hate Speech
Video hate Speech
Hate Speech detection
Machine Learning
Multi-modal Hate Speech detection
Online Access:http://hdl.handle.net/10361/15735
id 10361-15735
record_format dspace
spelling 10361-157352022-01-26T10:08:22Z Multi-modal hate speech detection using machine learning Shill, Ponkoj Chandra Boishakhi, Fariha Tahosin Alam, Md Golam Rabiul Department of Computer Science and Engineering, Brac University Audio hate Speech Video hate Speech Hate Speech detection Machine Learning Multi-modal Hate Speech detection Machine Learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 43-45). Hate speech is a common problem that people face in any content based applications. With continuous growth of internet users and media contents, it is very hard to track down hateful speech in audio and video. Converting video or audio into text does not detect hate speech accurately as humans sometimes use not hateful words as hate speech in a sarcastic way and also uses different voice tone or shows different action in the video than text. In the research, a combined approach to detect hate speech from contents using video, audio and speech by extracting feature images, feature values extracted from audio, text and used Machine learning, Deep learning and Natural language processing to detect hate speech Ponkoj Chandra Shill Fariha Tahosin Boishakhi B. Computer Science 2021-12-15T05:31:32Z 2021-12-15T05:31:32Z 2021 2021-01 Thesis ID 16201011 ID 16201010 http://hdl.handle.net/10361/15735 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. 45 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Audio hate Speech
Video hate Speech
Hate Speech detection
Machine Learning
Multi-modal Hate Speech detection
Machine Learning
spellingShingle Audio hate Speech
Video hate Speech
Hate Speech detection
Machine Learning
Multi-modal Hate Speech detection
Machine Learning
Shill, Ponkoj Chandra
Boishakhi, Fariha Tahosin
Multi-modal hate speech detection using machine learning
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
author2 Alam, Md Golam Rabiul
author_facet Alam, Md Golam Rabiul
Shill, Ponkoj Chandra
Boishakhi, Fariha Tahosin
format Thesis
author Shill, Ponkoj Chandra
Boishakhi, Fariha Tahosin
author_sort Shill, Ponkoj Chandra
title Multi-modal hate speech detection using machine learning
title_short Multi-modal hate speech detection using machine learning
title_full Multi-modal hate speech detection using machine learning
title_fullStr Multi-modal hate speech detection using machine learning
title_full_unstemmed Multi-modal hate speech detection using machine learning
title_sort multi-modal hate speech detection using machine learning
publisher Brac University
publishDate 2021
url http://hdl.handle.net/10361/15735
work_keys_str_mv AT shillponkojchandra multimodalhatespeechdetectionusingmachinelearning
AT boishakhifarihatahosin multimodalhatespeechdetectionusingmachinelearning
_version_ 1814307487793283072

Similar Items