Sentimental analysis on political speeches
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
| Auteurs principaux: | Atiq, Asif, Abeed, Abrar Shahriar, Efat, Azher Ahmed, Momin, Armanul |
|---|---|
| Autres auteurs: | Alam, Md. Golam Rabiul |
| Format: | Thèse |
| Langue: | English |
| Publié: |
Brac University
2022
|
| Sujets: | |
| Accès en ligne: | http://hdl.handle.net/10361/16591 |
Documents similaires
-
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
par: Farabe, Abdullah Al, et autres
Publié: (2021) -
Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
par: Shruti, Abanti Chakraborty
Publié: (2024) -
Sentiment analysis on Bangladesh airlines review data using machine learning
par: Hasib, Khan Md.
Publié: (2022) -
Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
par: Rahman, Shaomi, et autres
Publié: (2018) -
Sentiment analysis on mobile operators’ customer review
par: Hossain, Mohammed Mohibul, et autres
Publié: (2020)