Analysis on the effects of wallstreetbets on the stock market

Analysis on the effects of wallstreetbets on the stock market

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Xehetasun bibliografikoak
Egile Nagusiak:	Hossain, Abir, Sarker, Zahid, Radib, Md Sadman, Taher, Sayed Bin, Samrat, Syed Mohebbullah
Beste egile batzuk:	Shakil, Arif
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2022
Gaiak:	Stock market Subreddit Wallstreetbets GameStop AMC Sentiment analysis KNN SVM Decision tree Naive bayes
Sarrera elektronikoa:	http://hdl.handle.net/10361/17024

Antzeko izenburuak

Stock market prediction using ensemble learning
nork: Rabbani, Rakin Bin, et al.
Argitaratua: (2021)

Sentiment analysis for Bengali newspaper headlines
nork: Hossain, Mohammad Samman, et al.
Argitaratua: (2017)

Analyzing data of social media to evaluate customer behavior of companies using sentiment analysis
nork: Shourin, Bushra, et al.
Argitaratua: (2018)

A feature selection approach to determine obesity using machine learning method
nork: Antor, Shahidul Alam, et al.
Argitaratua: (2021)

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

An effective machine learning approach for sentiment analysis of restaurant reviews
nork: Karim, Rabita
Argitaratua: (2018)

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

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

Predicting subject area interest of a student using naive bayes
nork: Hossain, Shakib
Argitaratua: (2016)

Parking data analysis
nork: Ahamed, Kasfi, et al.
Argitaratua: (2023)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
nork: Rabbi, Md. Nafis
Argitaratua: (2024)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
nork: Alam, Auninda, et al.
Argitaratua: (2021)

Analyzing users’ sentiment towards video games based on reviews from microblog
nork: Roy, Abhijeet, et al.
Argitaratua: (2018)

Identification of childhood leukemia using deep learning
nork: Tultul, Farana Naz
Argitaratua: (2018)

Amazon product reviews sentiment analysis using supervised learning algorithms
nork: Hawladar, Mohibullah, et al.
Argitaratua: (2021)

A hybrid rumor detection model derived from a comparative study of supervised approaches
nork: Aothoi, Mehzabin Sadat, et al.
Argitaratua: (2023)

Potential of the stock trade of Bangladesh: An overview of BRAC EPL stock brokerage
nork: Binte Zahid, Jannat
Argitaratua: (2023)

Text classification using machine learning algorithms
nork: Hasnat, Fahim, et al.
Argitaratua: (2018)

Prediction of diabetes induced complications using different machine learning algorithms
nork: Rahman, Tahsinur, et al.
Argitaratua: (2018)

An approach to detect epileptic seizure using XAI and machine learning
nork: Bijoy, Emam Hasan, et al.
Argitaratua: (2022)

Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
nork: Sarkar, Ripa, et al.
Argitaratua: (2024)

What is relevant in a text document a machine learning based approach
nork: Mahmud, Abdullah Al, et al.
Argitaratua: (2021)

Predicting brain age from EEG signals using machine learning and neural network
nork: Pratanu, Abul Mushfique Muslah, et al.
Argitaratua: (2023)

Recognizing sentimental emotions in text by using Machine Learning
nork: Bushra, Tabassum Khan, et al.
Argitaratua: (2023)

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

A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
nork: Mahmud, Shakib Izaz, et al.
Argitaratua: (2022)

An analysis on the effects of parenting style on offspring’s behavior using machine learning
nork: Akter, Nasrin
Argitaratua: (2023)

A machine learning approach to predict movie box-office success
nork: Quader, Nahid, et al.
Argitaratua: (2018)

The global stock market
nork: Wójcik, Dariusz

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

Stock Market Price movement prediction using RNN and Point-weight Sentiment
nork: Uddin, S. M. Rageeb Noor, et al.
Argitaratua: (2022)

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

Market efficiency in weak form: empirical evidence from Bangladesh Stock Market
nork: Hossain, Md. Delowar
Argitaratua: (2019)

The impact of Covid-19 on the investment decisions of the investors in Dhaka Stock Exchange
nork: Bin Taher, Talash
Argitaratua: (2023)

Impact of fundamental factors on stock price: a case based approach on pharmaceutical companies listed with dhaka stock exchange
nork: Haque, Samina, et al.
Argitaratua: (2016)

Current stock market of Bangladesh
nork: Tabassum, Mehnaj
Argitaratua: (2014)

Sensitiveness of stock market returns to macroeconomic determinants; an empirical study on the pharmaceutical industry of Dhaka Stock Exchange
nork: Tasrin, Ibnat
Argitaratua: (2024)

Social media trend analysis to predict the success of products using deep learning technique
nork: Khan, Farden Ehsan, et al.
Argitaratua: (2023)

SmartMoney stock picker's bible /
nork: Huang, Nellie S.
Argitaratua: (2002)

Assistive Guideline of Categorization for Competitive Programming Problems
nork: Dhrubo, Najmus Sakib, et al.
Argitaratua: (2021)