Unsupervised Crypto Clustering with NLP

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.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2022

Author dc:creator

• Zhang, Sammy

Advisor dc:contributor.advisor

• Durand, Frédo

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/144527

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/144527