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.
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| Định dạng: | Luận văn |
| Ngôn ngữ: | English |
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BRAC University
2018
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| Truy cập trực tuyến: | http://hdl.handle.net/10361/10163 |
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10361-10163 |
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10361-101632022-01-26T10:21:45Z Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments Rahman, Shaomi Hemel, Jonayed Nafis Anta, Syed Junayed Ahmed Al Muhee, Hossain Uddin, Jia Department of Computer Science and Engineering, BRAC University Bitcoin Price fluctuations User sentiments Sentiment analysis R programmimg language 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). 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. Shaomi Rahman Jonayed Nafis Hemel Syed Junayed Ahmed Anta Hossain Al Muhee B. Computer Science and Engineering 2018-05-17T05:08:16Z 2018-05-17T05:08:16Z 2018 2018-04 Thesis ID 14101181 ID 14301049 ID 14101105 ID 14301070 http://hdl.handle.net/10361/10163 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 31 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Bitcoin Price fluctuations User sentiments Sentiment analysis R programmimg language |
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Bitcoin Price fluctuations User sentiments Sentiment analysis R programmimg language Rahman, Shaomi Hemel, Jonayed Nafis Anta, Syed Junayed Ahmed Al Muhee, Hossain Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Uddin, Jia |
| author_facet |
Uddin, Jia Rahman, Shaomi Hemel, Jonayed Nafis Anta, Syed Junayed Ahmed Al Muhee, Hossain |
| format |
Thesis |
| author |
Rahman, Shaomi Hemel, Jonayed Nafis Anta, Syed Junayed Ahmed Al Muhee, Hossain |
| author_sort |
Rahman, Shaomi |
| title |
Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments |
| title_short |
Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments |
| title_full |
Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments |
| title_fullStr |
Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments |
| title_full_unstemmed |
Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments |
| title_sort |
sentiment analysis using r: an approach to correlate bitcoin price fluctuations with change in user sentiments |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/10163 |
| work_keys_str_mv |
AT rahmanshaomi sentimentanalysisusingranapproachtocorrelatebitcoinpricefluctuationswithchangeinusersentiments AT hemeljonayednafis sentimentanalysisusingranapproachtocorrelatebitcoinpricefluctuationswithchangeinusersentiments AT antasyedjunayedahmed sentimentanalysisusingranapproachtocorrelatebitcoinpricefluctuationswithchangeinusersentiments AT almuheehossain sentimentanalysisusingranapproachtocorrelatebitcoinpricefluctuationswithchangeinusersentiments |
| _version_ |
1814309343596642304 |