Novel approach to detect hate speech and profanity on online platforms

Novel approach to detect hate speech and profanity on online platforms

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

Bibliografske podrobnosti
Main Authors:	Pritha, Barha Meherun, Islam, Samin, Alam, Tabassum
Drugi avtorji:	Kabir, Md Rayhan
Format:	Thesis
Jezik:	Spanish / Castilian
Izdano:	Brac University 2022
Teme:	Detection Hate speech Profanity Vectorization Word-embedding BiLSTM Machine learning Automatic speech recognition.
Online dostop:	http://hdl.handle.net/10361/16801

Podobne knjige/članki

Multi-modal hate speech detection using machine learning
od: Shill, Ponkoj Chandra, et al.
Izdano: (2021)

Fundamentals of speech recognition /
od: Rabiner, Lawrence R., 1943-
Izdano: (2009)

Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition /
od: Jurafsky, Dan, 1962-
Izdano: (2000)

Statistical methods for speech recognition /
od: Jelinek, Frederick, 1932-
Izdano: (1997)

Statistical methods for speech recognition /
od: Jelinek, Frederick, 1932-
Izdano: (1997)

Hybrid recommendation system of intelligent captioning using deep learning networks
od: Wasi, Ahamed Al, et al.
Izdano: (2024)

Bangla hate speech detection on social media using attention-based recurrent neural network
od: Das, Amit Kumar, et al.
Izdano: (2022)

Hate speech detection using machine learning techniques
od: Manzoor, Tahbib, et al.
Izdano: (2024)

Computational analysis and detection of Bengali communal violent speech
od: Khondoker, Abdullah, et al.
Izdano: (2024)

Identifying code-mixed and code-switched hateful remarks on social media using NLP
od: Sinha, Sumaiya, et al.
Izdano: (2024)

Bangla speech recognition using 1D CNN and LSTM with different dimension reduction techniques
od: Nirjhor, S M Mahsanul Islam, et al.
Izdano: (2019)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
od: Shakil, Mahmudul Hasan
Izdano: (2023)

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
od: Ahmed, Syed Istiaque, et al.
Izdano: (2024)

Visual speech recognition using artificial neural networking
od: Sharmili, Nowshin, et al.
Izdano: (2018)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
od: Hossain, Prommy Sultana
Izdano: (2022)

Bengali isolated speech recognition : a comparative analysis of the effects of data augmentation on HMM and DNN based acoustic models
od: Rashid, Warida, et al.
Izdano: (2018)

Acoustic analysis of Bangla consonants
od: Alam, Firoj, et al.
Izdano: (2010)

Acoutstic analysis of Bangla consonants
od: Alam, Firoj, et al.
Izdano: (2010)

TinyML for emotion detection in voice signals: evaluating and proposing algorithms for IoT wearable devices
od: Ahmed, Hasibul Hasan, et al.
Izdano: (2024)

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
od: Shruti, Abanti Chakraborty
Izdano: (2024)

Isolated and continuous bangla speech recognition: implementation, performance and application perspective
od: Hasnat, Md. Abul, et al.
Izdano: (2010)

Multimodal fake news detection using text and image
od: Biswas, Trisha, et al.
Izdano: (2024)

Audio recognition using feed forward neural network optimized by principle component analysis
od: Momo, Nusrat Suzana, et al.
Izdano: (2017)

AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP
od: Chowdhury, Salman Mostafiz, et al.
Izdano: (2022)

Identifying hate speech of Bangla language text using natural language processing
od: Rahman, Mushfiqur, et al.
Izdano: (2024)

Development of annotated Bangla speech corpora
od: Alam, Firoj, et al.
Izdano: (2010)

Voice impersonation detection using LSTM based RNN and explainable AI
od: Barua, Kawshik, et al.
Izdano: (2022)

Free speech: creating the ‘Us and Them’ debate
od: Kabir, Nahid Afrose
Izdano: (2019)

The world's 100 greatest speeches /
Izdano: (2016)

Predicting suicidal intent from social media text post using machine learning
od: Chowdhury, Md. Mubin Ul Islam, et al.
Izdano: (2023)

Text to speech for Bangla language using festival
od: Alam, Firoj, et al.
Izdano: (2010)

Early threat warning via speech and emotion recognition from voice calls
od: Ishtiak, Ifaz, et al.
Izdano: (2019)

RED-LSTM: Real time emotion detection using LSTM
od: Labiba, Mansura Rahman, et al.
Izdano: (2023)

Text to speech synthesis for Bangla language
od: Adnan, Morshed Jaman, et al.
Izdano: (2016)

Hate crimes in cyberspace /
od: Citron, Danielle Keats, 1968-
Izdano: (2014)

An integrated approach: fake review detection using convBERT-BiLSTM classification
od: Mahmud, Md. Anas, et al.
Izdano: (2024)

Discrete-time speech signal processing : principles and practice /
od: Quatieri, T. F. (Thomas F.)
Izdano: (2002)

The shaping of Indian science : Indian Science Congress Association, presidential addresses.
Izdano: (2003)

The shaping of Indian science : Indian Science Congress Association, presidential addresses.
Izdano: (2003)

The shaping of Indian science : Indian Science Congress Association, presidential addresses.
Izdano: (2003)