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Erschienen in:
2020 | OriginalPaper | Buchkapitel
A Brand Scoring System for Cryptocurrencies Based on Social Media Data
verfasst von : Giuseppe Santomauro, Daniela Alderuccio, Fiorenzo Ambrosino, Andrea Fronzetti Colladon, Silvio Migliori
Erschienen in: Mining Data for Financial Applications
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Abstract
In this work, we present an overview on the development and integration in ENEAGRID of some tools to evaluate brand importance of homogeneous financial instruments, such as cryptocurrencies. Our system is based on the analysis of textual data, such as tweets or online news. A collaborative environment called Web Crawling Virtual Laboratory allows data retrieval from the web. Below we describe this virtual lab and the ongoing activity aimed at adding a new feature, to allow news and social media crawling. We also provide some details about the integration in ENEAGRID of a new measure of brand importance and its Virtual Laboratory, namely the Semantic Brand Score. We aim to test the first version of this new virtual environment on Twitter data, to rank digital currencies.