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Talk on Measuring Depression in Social Media by Prof. Fabio Crestani

We are very pleased to announce the seminar talk on "Measuring Depression in Social Media" by Prof. Fabio Crestani from Universita della Svizzera Italiana (USI), Lugano, Switzerland, as followings;

Title:

Measuring Depression in Social Media: Results from the First 5 Years of eRisk

Abstract:

Internet provides massive amounts of data. Millions of users publish contents and interact with one another in a daily fashion. Several studies have shown that the words people use (also in online content) are indicative, through distinctive linguistic patterns, of their psychological state.
In 2017, through a fortunate set of events, we started the eRisk project. eRisk, which stands for Early Risk Prediction on the Internet, is concerned with the early detection of signs of psychological problems from users' posts in social media. In this talk, I give an overview of the activities of eRisk as part of CLEF (the Conference and Lab of the Evaluation Forum) over the past few years, with particular attention to the early detection of signs of depression. I also discuss how for depression we passed from the early detection, to the estimation of the level of severity, to the latest task (2023) concerned with estimation of the individual symptoms.
I conclude summarising the lessons learned so far and pointing at what might come next, also for other mental disorders.

Speaker Bio:

Prof. Fabio Crestani
Faculty of Informatics, Universitá della Svizzera Italiana (USI), Lugano, Switzerland

Prof. Fabio Crestani is a Full Professor at the Faculty of Informatics of the Universita' della Svizzera Italiana (USI) in Lugano, Switzerland, since 2007. Previously he was a professor at the University of Strathclyde in Glasgow, UK and the University of Padua, Italy. He holds a degree in Statistics from the University of Padua (I) and a MSc and PhD in Computing Science from the University of Glasgow.
Prof. Crestani works in Information Retrieval, Text Mining and Digital Libraries. In these areas he has published extensively on both theoretical and experimental aspects. He also served in the organising and program committees of several conferences and in the editorial boards of several journals.

Related Book:

Fabio Crestani, David E. Losada, Javier Parapar (eds.)
"Early Detection of Mental Health Disorders by Social Media Monitoring: The First Five Years of the eRisk Project"
Springer, 2022.
https://link.springer.com/book/10.1007/978-3-031-04431-1

Time/Date:

15:00- / Thursday, December 8th, 2022

Place:

Hybrid(Onsite and Online)
Venue : Room 1810 at National Institute of Informatics (National Center of Sciences)

Registration Form:

If you would like to attend, register from the link below
https://forms.gle/ZJNKZneLGcF1qUYM8

Contact:

Email : kando [at] nii.ac.jp

Link:

KANDO Noriko - Information and Society Research Division - Faculty

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