LDA2Net: Digging under the surface of COVID-19 topics in scientific literature

no code implementations • 2 Dec 2021 • Giorgia Minello, Carlo R. M. A. Santagiustina, Massimo Warglien

During the COVID-19 pandemic, the scientific literature related to SARS-COV-2 has been growing dramatically, both in terms of the number of publications and of its impact on people's life.

Topic Models

On the "mementum" of Meme Stocks

no code implementations • 7 Jun 2021 • Michele Costola, Matteo Iacopini, Carlo R. M. A. Santagiustina

The meme stock phenomenon is yet to be explored.

Filtering the intensity of public concern from social media count data with jumps

no code implementations • 24 Dec 2020 • Matteo Iacopini, Carlo R. M. A. Santagiustina

Count time series obtained from online social media data, such as Twitter, have drawn increasing interest among academics and market analysts over the past decade.

Time Series Analysis Applications Econometrics

Public Concern and the Financial Markets during the COVID-19 outbreak

no code implementations • 14 May 2020 • Michele Costola, Matteo Iacopini, Carlo R. M. A. Santagiustina

We measure the public concern during the outbreak of COVID-19 disease using three data sources from Google Trends (YouTube, Google News, and Google Search).