Extracting Blockchain Concepts from Text
Rodrigo Veiga Markus Endler Valeria de Paiva
Blockchains provide a mechanism through which mutually distrustful remote
parties can reach consensus on the state of a ledger of information. With the
great acceleration with which this space is developed, the demand for those
seeking to learn about blockchain also grows. Being a technical subject, it can
be quite intimidating to start learning. For this reason, the main objective of
this project was to apply machine learning models to extract information from
whitepapers and academic articles focused on the blockchain area to organize
this information and aid users to navigate the space.