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Daniele Quercia

4 papers in the library · 1 citation · publishing 2022-2025

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...

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

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...

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.

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...

Dream Content Discovery from Social Media Using AI

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

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...