Description
TL;DR: A Brazilian software-engineering thesis on collecting Bitcoin-related Twitter posts, classifying sentiment, and displaying it beside market volatility.
About This Document
Nicácio Arruda Bezerra Neto submitted this work at the University of Brasília. It treats social networks as a stream too large for manual monitoring and builds an automated tool for Bitcoin-related sentiment. The thesis covers collection, data mining, sentiment analysis, implementation, and a web-facing way to compare the resulting signal with price movement. The document is in Portuguese.
Why Bitcoin People May Care
Market sentiment is an attractive signal because it looks measurable and arrives continuously. This thesis shows the engineering behind turning that idea into a working research tool, including the assumptions between a post, a sentiment label, and a market chart. It documents an experiment; it does not establish a reliable trading edge or provide investment advice.
What You Receive
Purchase reveals the verified preserved PDF location for this document.
Document Details
- Title: Análise de Sentimentos do Twitter para Prever a Volatilidade do Bitcoin
- Author / organization: Nicácio Arruda Bezerra Neto
- Year: 2018
- Language: Portuguese
- Document type: Undergraduate thesis
- Pages: 62
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