Twitter data analysis for financial markets

Cocilova, Alessandro (2015) Twitter data analysis for financial markets. [Laurea], Università di Bologna, Corso di Studio in Informatica [L-DM270]
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Over the time, Twitter has become a fundamental source of information for news. As a one step forward, researchers have tried to analyse if the tweets contain predictive power. In the past, in financial field, a lot of research has been done to propose a function which takes as input all the tweets for a particular stock or index s, analyse them and predict the stock or index price of s. In this work, we take an alternative approach: using the stock price and tweet information, we investigate following questions. 1. Is there any relation between the amount of tweets being generated and the stocks being exchanged? 2. Is there any relation between the sentiment of the tweets and stock prices? 3. What is the structure of the graph that describes the relationships between users?

Tipologia del documento
Tesi di laurea (Laurea)
Autore della tesi
Cocilova, Alessandro
Relatore della tesi
Corso di studio
Ordinamento Cds
Parole chiave
social network analysis, twitter, finance, sentiment analysis
Data di discussione della Tesi
18 Marzo 2015

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