Year: 2018
Type: conference-paper
Abstract: Research focusing on online health discussions provides valuable insights into the use of medicines, as well as health-related experiences and difficulties currently not well understood.We introduce Medicine Radar, a tool for exploring health-related online discussions obtained from the Finnish Suomi24 chat forum.The health subset of the entire Suomi24 data consists of 19 million messages written over a time span of 16 years.We outline the method, identify some challenges in analyzing Finnish texts and explain how we overcame them in this specific domain.In particular, we present a novel method for generating domain vocabularies from colloquial texts, which utilizes a combination of machine learning and human input.Medicine Radar is accessible as an open sourced web interface that we hope will inspire and facilitate further research.
Source: Työväentutkimus Vuosikirja
Authors: Krista Lagus, Minna Ruckenstein, Atte Juvonen, Chang Rajani
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: China Scholarship Council
OpenAlex ID: W2807585308