2026-09-19T09:51:46Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1445272022-08-30T03:03:03Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Durand, Frédo
Zhang, Sammy
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2022-08-29T15:53:33Z
2022-08-29T15:53:33Z
2022-05
2022-05-27T16:19:34.359Z
https://hdl.handle.net/1721.1/144527
A cryptocurrency is a digital form of currency that is secured using an online ledger with cryptography. The first successful cryptocurrency was Bitcoin, which was launched in 2009 by an anonymous person under the pseudonym Satoshi Nakamoto. Similar to stocks, they can be bought and sold, and their prices can vary over time. Thus, being able to classify cryptocurrencies is key for a crypto investor to determine which crypto assets are worth investing in. This thesis will apply unsupervised learning to crypto whitepapers to cluster various cryptocurrencies.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright MIT
http://rightsstatements.org/page/InC-EDU/1.0/
Unsupervised Crypto Clustering with NLP
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="edb5a272-c813-4e19-a5f8-86badf8ebd28">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Title>Unsupervised Crypto Clustering with NLP</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2022-05</PublicationDate>
<Authors>
<Author>
<DisplayName>Zhang, Sammy</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://rightsstatements.org/page/InC-EDU/1.0/</License>
<Abstract>A cryptocurrency is a digital form of currency that is secured using an online ledger with cryptography. The first successful cryptocurrency was Bitcoin, which was launched in 2009 by an anonymous person under the pseudonym Satoshi Nakamoto. Similar to stocks, they can be bought and sold, and their prices can vary over time. Thus, being able to classify cryptocurrencies is key for a crypto investor to determine which crypto assets are worth investing in. This thesis will apply unsupervised learning to crypto whitepapers to cluster various cryptocurrencies.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>