Text mining for identifying topics in the literatures about adolescent substance use and depression

2016101 citationsJournal Articlegold Open Access

Authors

Shi‐Heng Wang · National Center for Toxicological Research

Yijun Ding · National Center for Toxicological Research

Weizhong Zhao · National Center for Toxicological Research

Yung-Hsiang Huang · National Applied Research Laboratories

Roger Perkins · United States Food and Drug Administration

Wen Zou · National Center for Toxicological Research

James J. Chen

Abstract

Topic modeling has the ability to segregate a large collection of articles into distinct themes, and it could be used as a tool to understand the literature, not only by recapturing known facts but also by discovering other relevant topics.

Topics & Keywords

Biomedical Text Mining and Ontologies Advanced Text Analysis Techniques Bioinformatics and Genomic Networks

UN Sustainable Development Goals

Good health and well-beingGender equality

Publication Details

Published in: BMC Public Health

Volume 16, Issue 1, pp. 279-279

DOI: 10.1186/s12889-016-2932-1

Field-Weighted Citation Impact: 3.83