Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Manylion Llyfryddiaeth
Prif Awduron:	Rahman, Shaomi, Hemel, Jonayed Nafis, Anta, Syed Junayed Ahmed, Al Muhee, Hossain
Awduron Eraill:	Uddin, Jia
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	BRAC University 2018
Pynciau:	Bitcoin Price fluctuations User sentiments Sentiment analysis R programmimg language
Mynediad Ar-lein:	http://hdl.handle.net/10361/10163

Eitemau Tebyg

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

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

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

Microblog sentiment analysis for rating TV shows
gan: Abdullah, Ashik
Cyhoeddwyd: (2017)

Sentiment analysis on mobile operators’ customer review
gan: Hossain, Mohammed Mohibul, et al.
Cyhoeddwyd: (2020)

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

A multimodal approach of sentiment analysis to predict customer emotions towards a product
gan: Islam, Shadman, et al.
Cyhoeddwyd: (2020)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
gan: Chakraborty, Sovon
Cyhoeddwyd: (2024)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
gan: Ghose, Swattic, et al.
Cyhoeddwyd: (2023)

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

Sentimental analysis on political speeches
gan: Atiq, Asif, et al.
Cyhoeddwyd: (2022)

Performing sentiment analysis in Bangla microblog posts
gan: Chowdhury, Shaika, et al.
Cyhoeddwyd: (2017)

Product rating generation based on public opinion using sentiment analysis
gan: Rabbi, Reshan Ahmed, et al.
Cyhoeddwyd: (2018)

Feature based mobile phone rating using sentiment analysis and machine learning approaches
gan: Kafi, Abdullahil, et al.
Cyhoeddwyd: (2018)

Optimizing restaurant recommendations through sentiment analysis
gan: Juha, Tasnia, et al.
Cyhoeddwyd: (2024)

Embedded system based bangla intelligent social virtual robot with sentiment analysis
gan: Hossain, Md. Ishan Arefin, et al.
Cyhoeddwyd: (2018)

Sentimental analysis of customer product Reviews to understand customer needs using machine learning
gan: Symum, Md Abdullah Al, et al.
Cyhoeddwyd: (2023)

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

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

Aspect-based sentiment analysis using SemEval and Amazon datasets
gan: Hasib, Tamanna, et al.
Cyhoeddwyd: (2018)

A sustainable Bitcoin architecture
gan: Monem, Maruf
Cyhoeddwyd: (2022)

A framework for sentiment analysis: a data-driven approach
gan: Islam, Md. Jahedul, et al.
Cyhoeddwyd: (2021)

Human sentiment analysis using natural language processing
gan: Shamya, Md. Shamiul Haque Khan, et al.
Cyhoeddwyd: (2024)

Sentiment classification on Bengali food and restaurant reviews
gan: Hossain, Abid, et al.
Cyhoeddwyd: (2024)

Sentiment analysis in Bengali Text using NLP
gan: Sarkar, Ankon, et al.
Cyhoeddwyd: (2023)

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

Bang-lish sentiment classification using deep learning
gan: Saleheen, Abrar, et al.
Cyhoeddwyd: (2023)

Share market forecasting with LSTM neural network and sentimental trend prediction
gan: Rony, Ismail Hossain, et al.
Cyhoeddwyd: (2020)

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

Sentiment analysis on Bangladesh airlines review data using machine learning
gan: Hasib, Khan Md.
Cyhoeddwyd: (2022)

Social media sentiment study on COVID-19 outbreak
gan: Karmaker, Anik, et al.
Cyhoeddwyd: (2021)

Sentiment analysis of customer reviews on food ordering portals of Bangladesh using natural language processing
gan: Deb, Priom, et al.
Cyhoeddwyd: (2024)

Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
gan: Shruti, Abanti Chakraborty
Cyhoeddwyd: (2024)

Bitcoin price forecasting based on historical data
gan: Roy, Shaily, et al.
Cyhoeddwyd: (2018)

Fluctuating nonlinear oscillators

Inflation Dynamics in Advanced Economies : A Decomposition into Cyclical and Non-Cyclical Factors /
gan: Lian, Weicheng
Cyhoeddwyd: (2022)

Sentiments
gan: Matimba

Drift in Producer Price Indexes for the Former Soviet Union (FSU) Countries /
gan: Zieschang, Kimberly
Cyhoeddwyd: (1994)

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

Sentimental Opera
gan: Stefano Castelvecchi
Cyhoeddwyd: (2013)