Comparative study of toxic comments classification using machine learning algorithms

Comparative study of toxic comments classification using machine learning algorithms

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

Bibliografiska uppgifter
Huvudupphovsmän:	Razzak, Razia, Sadril, Md., Shakil, Mahmudul Hasan, Rahman, Mahfuzur, Taki, Sabiha Tul Omman
Övriga upphovsmän:	Chakrabarty, Amitabha
Materialtyp:	Lärdomsprov
Språk:	en_US
Publicerad:	Brac University 2021
Ämnen:	Cyberbullying Natural Language Processing Word Embedding Convolutional Neural Networks XGBoost Support Vector Machine
Länkar:	http://hdl.handle.net/10361/14810

Liknande verk

Cyberbullying Detection using Machine Learning from Social Media comments in Bangla Language
av: Tuhin, Saikat Halder, et al.
Publicerad: (2023)

Cyberbullying detection using sentiment analysis in social media
av: Sintaha, Mifta, et al.
Publicerad: (2016)

Detecting sarcasm in Bengali comments using NLP
av: Chowdhury, Md. Jamiur Rahman
Publicerad: (2024)

Novel approach to detect hate speech and profanity on online platforms
av: Pritha, Barha Meherun, et al.
Publicerad: (2022)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
av: Ahmed, Md. Sabbir, et al.
Publicerad: (2021)

A machine learning approach to predict young voter enthusiasm based on non-political factors
av: Rahman, Md. Nowroz Junaed, et al.
Publicerad: (2021)

An introduction to support vector machines : and other kernel-based learning methods /
av: Cristianini, Nello
Publicerad: (2000)

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

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

Prediction of earthquakes: a step towards predicting the unpredictable
av: Chowdhury, Maheen, et al.
Publicerad: (2023)

A new approach to select adaptive Intrinsic Mode Functions (IMFs) of Empirical Mode Decomposition (EMD)
av: Sultana Nishi, Razia, et al.
Publicerad: (2016)

Early detection of chronic kidney disease using machine learning
av: Abrar, Tahmid, et al.
Publicerad: (2019)

Performance analysis of machine learning classi ers for detecting PE malware
av: Azmee, ABM.Adnan, et al.
Publicerad: (2020)

Grouping of handwritten Bangla basic characters, numerals and vowel modifiers for multilayer classification
av: Reza, Khondker Nayef, et al.
Publicerad: (2017)

Performance analysis of machine learning algorithms for Malware classification
av: Bushra, Raisa Hasan, et al.
Publicerad: (2023)

Hate speech detection from social networking posts using CNN and XGBoost
av: Shahadat, Ashraf Bin, et al.
Publicerad: (2020)

Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
av: Amiz, Asef Hassan, et al.
Publicerad: (2021)

A system to prevent social violence using convolutional neural network
av: Akter, Sanzida, et al.
Publicerad: (2023)

Quantity confirmation of embedded supporting members underground for prefabricated steel structure
av: Brac University
Publicerad: (2023)

Exploration of cyberbullying behaviour among students of secondary schools in Dhaka during COVID-19
av: Bhuiyan, Md. Tanvir Rahman
Publicerad: (2024)

Prediction of Epileptic Seizures using digital signal processing and support vector machine
av: Siddique, Nusayer Masud, et al.
Publicerad: (2021)

Aspect-based sentiment analysis using SemEval and Amazon datasets
av: Hasib, Tamanna, et al.
Publicerad: (2018)

Virtual teaching assistant for undergraduate students using natural language processing & deep learning
av: Sakib, Sadman Jashim, et al.
Publicerad: (2023)

Leaf classification by feature extraction using CNN
av: Bhuiyan, Md. Mazharul Islam, et al.
Publicerad: (2020)

Mastering Word 2000 /
av: Mansfield, Ron
Publicerad: (1999)

Microsoft Word 2010 step by step /
av: Cox, Joyce, 1946-
Publicerad: (2011)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
av: Ahmed, Sajjad
Publicerad: (2019)

Classi cation of magnetic configurations using machine learning algorithms
av: Bokul, Saffat, et al.
Publicerad: (2019)

A machine learning approach to detect depression and anxiety using supervised learning
av: Ullas, Md Tahmidur Rahman, et al.
Publicerad: (2019)

Detection of mind wandering using EEG signals
av: Tasika, Nadia Jebin, et al.
Publicerad: (2020)

Performing sentiment analysis in Bangla microblog posts
av: Chowdhury, Shaika, et al.
Publicerad: (2017)

Word for Windows 6 : self-teaching guide /
av: Guild, Stephen
Publicerad: (1994)

Hate crimes in cyberspace /
av: Citron, Danielle Keats, 1968-
Publicerad: (2014)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
av: Islam, Shadman, et al.
Publicerad: (2020)

A comparative study of deep learning methods for automating road condition characterization
av: Ruhi, Zurana Mehrin, et al.
Publicerad: (2021)

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

Best feature selection and data visualization for breast cancer prediction
av: Hemel, Tanjim Ahmed, et al.
Publicerad: (2020)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
av: Turjo, Aquib Abtahi, et al.
Publicerad: (2021)

Support vector machines: theory and applications /
Publicerad: (2005)

Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
av: Esha, Ishraq Ahmed, et al.
Publicerad: (2023)