Predicting cryptocurrency value, based on sentimental analysis of social media post

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Journal Title
Journal ISSN
Volume Title
Perustieteiden korkeakoulu | Master's thesis
Date
2022-01-24
Department
Major/Subject
Data Science
Mcode
SCI3095
Degree programme
Master's Programme in ICT Innovation
Language
en
Pages
62+9
Series
Abstract
The purpose of this thesis is to predict crypto currency value, based on sentimentalanalysis of social media post.Social media has become a place where individuals are sharing the news rapidly.While, considering the financial commodity, the confidence of public is the specificcommodity is the core base value. Hence, this thesis considers social media post onTwitter, Reddit and Crypto Compare platforms to perform sentiment analysis onthe posts. This sentiment anaysis is used to predict the value of Bitcoin, Ethereumand Litcoin using machine learning models, such as, Decision Tree, Log Regression,Naive Bayes and Ensemble.
Description
Supervisor
Aledavood, Talayeh
Thesis advisor
Azhar, Salman
Keywords
crypto currency, bitcoin, ethereum, litecoin, sentimental analysis, social media
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Citation