51. Know Who Your Friends Are: Understanding Social Connections from Unstructured Text
- Author
-
Charles Jochim, Killian Levacher, Yassine Lassoued, Francesca Bonin, Stéphane Deparis, Léa A. Deleris, Yufang Hou, and Elizabeth M. Daly
- Subjects
03 medical and health sciences ,Interpersonal relationship ,0302 clinical medicine ,Computer science ,Human–computer interaction ,010401 analytical chemistry ,Graph (abstract data type) ,Case note ,030212 general & internal medicine ,01 natural sciences ,0104 chemical sciences - Abstract
Having an understanding of interpersonal relationships is helpful in many contexts. Our system seeks to assist humans with that task, using textual information (e.g., case notes, speech transcripts, posts, books) as input. Specifically, our system first extracts qualitative and quantitative information elements (which we call signals) about interactions among persons, aggregates those to provide a condensed view of relationships and then enables users to explore all facets of the resulting social (multi-)graph through a visual interface.
- Published
- 2018
- Full Text
- View/download PDF