activity
20192022
most citedA joint text mining-rank size investigation of the rhetoric structures of the US Presidents' speeches

34 citations · 45 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2022★ 3 cited

Markov Chain Monte Carlo for generating ranked textual data

Roy Cerqueti, Valerio Ficcadenti, Gurjeet Dhesi +1

This paper faces a central theme in applied statistics and information science, which is the assessment of the stochastic structure of rank-size laws in text analysis. We consider…

q-fin.ST2021

Benford's laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity

Marcel Ausloos, Valerio Ficcadenti, Gurjeet Dhesi +1

The so-called Benford's laws are of frequent use in order to observe anomalies and regularities in data sets, in particular, in election results and financial statements. Yet, basi…

cs.SI2020

Biblical names' relationships in the Gospel of Matthew, Mark, Luke, John and Acts of Apostles

Roberto Rondinelli, Stefano Marmani, Valerio Ficcadenti

In this paper we extrapolate the information about Bible's characters and places, and their interrelationships, by using text mining network-based approach. We study the narrative…

q-fin.ST2020

Anxiety for the pandemic and trust in financial markets

Roy Cerqueti, Valerio Ficcadenti

The COVID-19 pandemic has generated disruptive changes in many fields. Here we focus on the relationship between the anxiety felt by people during the pandemic and the trust in the…

cs.CL2020★ 8 cited

Words ranking and Hirsch index for identifying the core of the hapaxes in political texts

Valerio Ficcadenti, Roy Cerqueti, Marcel Ausloos +1

This paper deals with a quantitative analysis of the content of official political speeches. We study a set of about one thousand talks pronounced by the US Presidents, ranging fro…

cs.CL2019★ 34 cited

A joint text mining-rank size investigation of the rhetoric structures of the US Presidents' speeches

Valerio Ficcadenti, Roy Cerqueti, Marcel Ausloos

This work presents a text mining context and its use for a deep analysis of the messages delivered by the politicians. Specifically, we deal with an expert systems-based exploratio…