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Daniele Quercia

6 papers in the library · 1 citation · publishing 2020-2025

Papers

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Dream content discovery from social media using natural language processing

EPJ Data Science May 23, 2025 Anubhab Das, Sanja Šćepanović, Luca Maria Aiello et al.

Dreaming is a fundamental but not fully understood part of human experience. Traditional dream content analysis practices, while popular and aided by over 130 unique scales and rating systems, have limitations. Often based on retrospective surveys or lab studies, and sometimes on in-home dream reports collected over some days, they struggle to be applied on a large scale or to show the...

DOI: 10.1140/epjds/s13688-025-00554-w (opens in new tab) Dream Content measure theory Social media Natural archaeology +3

Dream Content Discovery from Reddit with an Unsupervised Mixed-Method Approach

arXiv (Cornell University) July 9, 2023 Anubhab Das, Sanja Šćepanović, Luca Maria Aiello et al. 1 citation preprint

Dreaming is a fundamental but not fully understood part of human experience that can shed light on our thought patterns. Traditional dream analysis practices, while popular and aided by over 130 unique scales and rating systems, have limitations. Mostly based on retrospective surveys or lab studies, they struggle to be applied on a large scale or to show the importance and connections between...

DOI: 10.48550/arxiv.2307.04167 (opens in new tab) Full text (opens in new tab) Dream Scale ratio Big data Content measure theory +4

Epidemic Dreams: Dreaming about health during the COVID-19 pandemic

arXiv Preprint Archive February 2, 2022 Sanja Šćepanović, Luca Maria Aiello, Deirdre Barrett et al. preprint

The continuity hypothesis of dreams suggests that the content of dreams is continuous with the dreamer's waking experiences. Given the unprecedented nature of the experiences during COVID-19, we studied the continuity hypothesis in the context of the pandemic. We implemented a deep-learning algorithm that can extract mentions of medical conditions from text and applied it to two datasets...

Full text (opens in new tab) Cs.si Cs.cl Cs.cy

The Dreamcatcher: Interactive Storytelling of Dreams.

IEEE computer graphics and applications May 1, 2021 Edyta Paulina Bogucka, Bon Adriel Aseniero, Luca Maria Aiello et al.

Sleep scientists have extensively validated the continuity hypothesis, according to which our dreams reflect what happens during our waking life. Yet, only a few attempts have been made to increase the general public's awareness about the benefits of dream analysis in better understanding and improving our daily life. We designed "The Dreamcatcher," an interactive visual tool that explores the...

Our dreams, our selves: automatic analysis of dream reports.

Royal Society Open Science August 26, 2020 Alessandro Fogli, Luca Maria Aiello, Daniele Quercia

Sleep scientists have shown that dreaming helps people improve their waking lives, and they have done so by developing sophisticated content analysis scales. Dream analysis entails time-consuming manual annotation of text. That is why dream reports have been recently mined with algorithms, and these algorithms focused on identifying emotions. In so doing, researchers have not tackled two main...

DOI: 10.1098/rsos.192080 (opens in new tab) Full text (opens in new tab) Dreams Nlp Digital health Social computing +1

Dream Content Discovery from Social Media Using AI

Anubhab Das, Sanja Šćepanović, Luca Maria Aiello et al. preprint

Abstract Dreaming is a fundamental but not fully understood part of human experience. Traditional dream content analysis practices, while popular and aided by over 130 unique scales and rating systems, have limitations. Often based on retrospective surveys or lab studies, and sometimes on in-home dream reports collected over some days, they struggle to be applied on a large scale or to show the...