Detecting tweet sentiment and sarcasm on online learning during covid-19
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
Autores principales: | Das, Shishir Kumar, Nisa, Khairun, Kabir, Razit, Tonni, Israt Jahan |
---|---|
Otros Autores: | Chakrabarty, Dr. Amitabha |
Formato: | Tesis |
Lenguaje: | English |
Publicado: |
Brac University
2024
|
Materias: | |
Acceso en línea: | http://hdl.handle.net/10361/22718 |
Ejemplares similares
-
Intelligent assisted living in pregnancy
por: Zaman, S. M. Tanveer, et al.
Publicado: (2022) -
Application of CNN based architectures in detection of distracted drivers
por: Arafin, Irfana, et al.
Publicado: (2023) -
Machine learning for stress prediction
por: Salehin, Sherajus, et al.
Publicado: (2023) -
Predicting stock market trend from twitter feed and building a framework for Bangladesh
por: Karim, Shabab, et al.
Publicado: (2018) -
Automated fabric color prediction
por: Muhtashima, Fawzia, et al.
Publicado: (2024)