Detecting tweet sentiment and sarcasm on online learning during covid-19

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.

Bibliografische gegevens
Hoofdauteurs:	Das, Shishir Kumar, Nisa, Khairun, Kabir, Razit, Tonni, Israt Jahan
Andere auteurs:	Chakrabarty, Dr. Amitabha
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2024
Onderwerpen:	Data mining Machine learning Tweet Sarcasm Prediction Decision tree Linear regression analysis Online learning Computational linguistics. Natural language processing (Computer science)
Online toegang:	http://hdl.handle.net/10361/22718

Gelijkaardige items

Intelligent assisted living in pregnancy
door: Zaman, S. M. Tanveer, et al.
Gepubliceerd in: (2022)

Application of CNN based architectures in detection of distracted drivers
door: Arafin, Irfana, et al.
Gepubliceerd in: (2023)

Machine learning for stress prediction
door: Salehin, Sherajus, et al.
Gepubliceerd in: (2023)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
door: Karim, Shabab, et al.
Gepubliceerd in: (2018)

Automated fabric color prediction
door: Muhtashima, Fawzia, et al.
Gepubliceerd in: (2024)

Weather forecasting using Deep Learning
door: Fahad, Sheikh Abdul, et al.
Gepubliceerd in: (2023)

Predicting the length of stay in a hospital for a particular disease using machine learning algorithms
door: Imam, Saif
Gepubliceerd in: (2021)

A novel approach to reduce air pollution through machine learning based PM2.5 prediction
door: Alif, Omar Farhad, et al.
Gepubliceerd in: (2023)

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

Early grade prediction using profile data
door: Iqbal, Sumaiya, et al.
Gepubliceerd in: (2021)

Evaluating user influence in Twitter based on hashtags using data mining
door: Neha, Maheen Absar, et al.
Gepubliceerd in: (2018)

Detecting online recruitment fraud by using machine learning
door: Ghosh, Gitanjali, et al.
Gepubliceerd in: (2021)

Where will you setup your business next?: a machine learning approach to suggest ideal geographical location for new restaurant establishment
door: Shihab, Ibne Farabi, et al.
Gepubliceerd in: (2018)

Application of machine learning techniques on the context of livestock analysis
door: Islam, Md. Shajedul, et al.
Gepubliceerd in: (2018)

Predicting stock market movement using sentiment analysis of twitter feed
door: Chakraborty, Pranjal, et al.
Gepubliceerd in: (2017)

Finding ideal geographical location for businesses using machine learning technique
door: Mahmud, Mir Ibtid, et al.
Gepubliceerd in: (2022)

Heart disease prediction using techniques of classification in machine learning
door: Afrose, Sadia, et al.
Gepubliceerd in: (2021)

Predicting a T20 cricket match result while the match is in progress
door: Munir, Fahad, et al.
Gepubliceerd in: (2015)

Polycystic ovary syndrome detection using neural network.
door: Istiyaq, Tahsin, et al.
Gepubliceerd in: (2024)

Data analysis on the Bangladesh share market using Machine-Learning
door: Sadman, Syed Hassan, et al.
Gepubliceerd in: (2021)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
door: Bhattacharjee, Ruposri, et al.
Gepubliceerd in: (2024)

A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
door: Farabe, Abdullah Al, et al.
Gepubliceerd in: (2021)

Prediction on large scale data using extreme gradient boosting
door: Sawon, Md.Tariq Hasan, et al.
Gepubliceerd in: (2016)

An implementation and analysis of deep learning models for the detection of wheat diseases
door: Zubair, Ahmad, et al.
Gepubliceerd in: (2024)

Supershop management Models: An optimised way to manage the supershop using hyperautomation and machine learning
door: Ahmed, Shuvro, et al.
Gepubliceerd in: (2023)

A counseling system to predict the study path for freshmen
door: Usha, Rowshni Tasneem, et al.
Gepubliceerd in: (2019)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
door: Tasnim, Anika, et al.
Gepubliceerd in: (2022)

The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
door: Mahmud, Mahmudul Hasan
Gepubliceerd in: (2021)

Implementation of machine learning to estimate the air pollutants such as Carbon dioxide, methane, nitrous oxide and total greenhouse gas emissions in Bangladesh
door: Biswas, Sunanda, et al.
Gepubliceerd in: (2022)

Amazon product reviews sentiment analysis using supervised learning algorithms
door: Hawladar, Mohibullah, et al.
Gepubliceerd in: (2021)

A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
door: Rahee, Arnob, et al.
Gepubliceerd in: (2021)

Stock price prediction
door: Das, Kaushik, et al.
Gepubliceerd in: (2023)

Social media sentiment study on COVID-19 outbreak
door: Karmaker, Anik, et al.
Gepubliceerd in: (2021)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
door: Mahmud, Booshra Nazifa, et al.
Gepubliceerd in: (2019)

Flood prediction using machine learning models
door: Syeed, Miah Mohammad Asif, et al.
Gepubliceerd in: (2022)

Analyzing area-wise air pollution level using machine learning for a better future
door: Sihan, Sk. Atik Tajwar, et al.
Gepubliceerd in: (2021)

Prediction of bipolar disorder from mental episodes using machine learning approach
door: Tasmeem, Sumaiya, et al.
Gepubliceerd in: (2023)

An advanced hospital rating system using machine learning and natural language processing
door: Tamjid, Ali Asgar, et al.
Gepubliceerd in: (2023)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
door: Maliha, Miftahul Zannat, et al.
Gepubliceerd in: (2023)

Forecasting stock market prices using advanced tools of machine learning
door: Anwar, Md. Tawhid, et al.
Gepubliceerd in: (2019)