The manuscript “Social Reminiscence in Older Adults’ Everyday Conversations: Automated Detection Using Natural Language Processing and Machine Learning” by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH), Burcu Demiray, Kristina Yordanova, Mixia Luo and Mike Martin has been accepted for publication in the Journal of Medical Internet Research (JMIR). The paper shows how to automatically detect reminiscence (i.e. the act of recalling important personal memories) in older adults’ everyday conversations held in German, using natural language processing and machine learning methodologies. The accepted manuscript is the first example of scientific collaboration between the Mobiliar Lab for Analytics at ETH, the University of Zurich, the University of Rostock and the Collegium Helveticum.
