Title:
Text and Data Mining Scientific Articles with Allofplos

Description:
Mining scientific articles is hard when many of them are inaccessible behind paywalls. The Public Library of Science (PLOS) is a non-profit Open Access science publisher of the single largest journal (*PLOS ONE*), whose articles are all freely available to read and re-use. allofplos is a Python package for maintaining a constantly growing collection of PLOS's 227,000+ articles. It also quickly and easily parses these article files into Python data structures. This talk will cover how allofplos keeps your articles up-to-date, and how to use it to easilyy access common article metadata and fuel your meta-research, with actual use cases from inside PLOS.



Presenter(s):
 Speaker: Elizabeth Seiver, PLOS
 Speaker: M Pacer, University of California, Berkeley
 Speaker: Sebastian Bassi, Globant