The thesis analyses broadly the recent developments of the role of Bitcoin in Economics and Finance, exploring the role played by social media, the internet and big data. Subsequently, it proceeds in introducing relevant data crawling and sentiment analysis techniques; in particular the use of “VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text”. The thesis develops the study on “Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies” by Kim YB et al.
Bitcoin prices and volatility predictions based on crawled data.
Caporal, Charles
2017/2018
Abstract
The thesis analyses broadly the recent developments of the role of Bitcoin in Economics and Finance, exploring the role played by social media, the internet and big data. Subsequently, it proceeds in introducing relevant data crawling and sentiment analysis techniques; in particular the use of “VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text”. The thesis develops the study on “Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies” by Kim YB et al.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.14247/22114