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    •   BracU IR
    • School of Engineering and Computer Science (SECS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments

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    14101181,14301049,14101105,14301070_CSE.pdf (1.181Mb)
    Date
    2018-04
    Publisher
    BRAC University
    Author
    Rahman, Shaomi
    Hemel, Jonayed Nafis
    Anta, Syed Junayed Ahmed
    Al Muhee, Hossain
    Metadata
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    URI
    http://hdl.handle.net/10361/10163
    Abstract
    Analyzing sentiments has been widely regarded as a popular technique by many researchers, and Twitter nominated the most user-friendly, and reliable social media supplying the stream of sentiments. Among the trendiest topics of discussion in such social platforms, cryptocurrency, and most notably Bitcoin ranks the highest, both providing curiosity as a technology, and a lucrative asset to trade. This thesis studies the correlation among user sentiments from Twitter and the change in price of Bitcoin, to carve out a scalable model by manipulating the category of sentiments as variables and appropriate quantitative machine learning techniques. The work finally achieved a stable precision for determining movement in price, with a high of 75% in accuracy in the short run.
    Keywords
    Bitcoin; Price fluctuations; User sentiments; Sentiment analysis; R programmimg language
     
    Description
    This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 30-31).
    Department
    Department of Computer Science and Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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