The community developing text analysis tools for R has grown a lot in recent years, some of it coordinated, some of it not. The text analysis eco-system has become richer but also more difficult to integrate. This workshop is designed to bring the text package developers' community, to share experiences and knowledge, and hopefully foster cooperation. To ensure a safe, enjoyable, and friendly experience for everyone who participates, we have a strict code of conduct.
By forming as the beginnings of an rOpenSci "SIG" (special interest group), we hope to create an ongoing dialogue between members of the R text analysis package developers' community, leading to future, similar events.
This is an invitation-only event. All participants are active members of the R developers' community, working on packages that involve text analysis, natural language processing, and other aspects of text mining and text data handling.
George Mason University
University of Richmond
University of Applied Sciences Wiener Neustadt
University of Leuven
Heinrich Heine Universität
SK Telecom; Korea University
Campus Labs, SUNY Buffalo
stealth mode startup
(text2vec, tokenizers, LSHR)
London School of Economics and Political Science, Lincolns Inn Field Building room 32L LG.04 (32L on this map or get directions).
The latest schedule is available from our Github Page.
The main funding for this event comes from European Research Council grant ERC-2011-StG 283794-QUANTESS (PI: Kenneth Benoit)