Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
Hlavní autoři: | Fahim, Kaji Mehedi Hasan, Nyla, Nasita, Saha, Priti, Akter, Mst. Shamima, Shourav, Musfiqur Rahman |
---|---|
Další autoři: | Sadeque, Farig Yousuf |
Médium: | Diplomová práce |
Jazyk: | English |
Vydáno: |
Brac University
2024
|
Témata: | |
On-line přístup: | http://hdl.handle.net/10361/23576 |
Podobné jednotky
-
An integrated approach: fake review detection using convBERT-BiLSTM classification
Autor: Mahmud, Md. Anas, a další
Vydáno: (2024) -
Heart disease prediction using machine learning algorithms
Autor: Ali, Musfiq, a další
Vydáno: (2019) -
Analysis of the impact of online education using EEG signals and machine learning algorithms
Autor: Hoque, Ehsanul, a další
Vydáno: (2021) -
Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
Autor: Haque, Tashfia, a další
Vydáno: (2024) -
Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
Autor: Dewanjee, Tanmoy, a další
Vydáno: (2021)