Unsupervised Crypto Clustering with NLP
Name
Zhang-swzhang-meng-eecs-2022-thesis.pdf
Description
Thesis PDF
Size
469.58 KB
Format
Adobe PDF
Checksum (MD5)
a883d3d7b1190b1ceab7e6bc35d256dd
Author(s)
Zhang, Sammy
Advisor(s)
Durand, Frédo
Date Issued
May 2022
Publisher
Massachusetts Institute of Technology
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
In Copyright - Educational Use Permitted
Copyright MIT
Persistent DSpace Link
