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.
Main Authors: | Fahim, Kaji Mehedi Hasan, Nyla, Nasita, Saha, Priti, Akter, Mst. Shamima, Shourav, Musfiqur Rahman |
---|---|
Other Authors: | Sadeque, Farig Yousuf |
Format: | Thesis |
Language: | English |
Published: |
Brac University
2024
|
Subjects: | |
Online Access: | http://hdl.handle.net/10361/23576 |
Similar Items
-
An integrated approach: fake review detection using convBERT-BiLSTM classification
by: Mahmud, Md. Anas, et al.
Published: (2024) -
Heart disease prediction using machine learning algorithms
by: Ali, Musfiq, et al.
Published: (2019) -
Analysis of the impact of online education using EEG signals and machine learning algorithms
by: Hoque, Ehsanul, et al.
Published: (2021) -
Optical flow based violence detection from video footage using hybrid MobileNet and Bi-LSTM
by: Haque, Tashfia, et al.
Published: (2024) -
Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
by: Dewanjee, Tanmoy, et al.
Published: (2021)