[dbjapan] 【講演会のご案内】Measuring Depression in Social Media: Results from the First 5 Years of eRisk Initiative

みなさま： 国立情報学研究所の神門典子（かんど のりこ）と申します。 直前のご連絡で恐縮ですが、来週12月8日(木)15時より 標記の講演会をハイブリッドで開催いたします。 社会が複雑化するのしたがって、とくにCOVID-19の影響でさまざまな 生きづらさを感じやすくなっているといわれています。そのような中で、 Mental Disorderをより早い段階でSNSなどから検知することの重要性が 高まっております。今回は、eRisk (Early Detection of Mental Disorder by Monitering Social Media)プロジェクトを2017年から主導されている スイスUSI大学のProf Fabio Crestaniにご講演いただきます。ぜひ、奮って ご参加ください。みなさまのご参加をお待ちしております。 -------- <日時/Data Time> Thursday, Dec. 8th, From 15:00- <場所/Place> Room 1810, NII, and Online オンライン参加の方は下記よりご登録ください。 講演会前日にZoomリンクをお送りします https://forms.gle/ZJNKZneLGcF1qUYM8 <演題/TITLE> Measuring Depression in Social Media: Results from the First 5 Years of eRisk <言語> English <概要/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. <関連書籍/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 <講演者について/About the Speaker> 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. <参加登録フォーム/Registration Form> https://forms.gle/ZJNKZneLGcF1qUYM8 - オンライン参加：事前に参加登録をお願いいたします。 　ご登録くださった方に、講演会前日にZoomリンクをお送りいたします。 - 現地参加：事前登録なしの参加も歓迎です。ですが、 　より良い準備や急な変更があった場合の連絡などのために、 　できれば登録をお願いできれば幸いです みなさまのご参加をお待ちしております 神門 典子 -- Noriko Kando National Institute of Informatics, Japan