TextXD - Text Analysis Across Domains

TextXD brings together researchers from across a wide range of disciplines, who work with text as a primary source of data, whether they identify as computer, social, data, or information scientists, including linguists. We work to identify common principles, algorithms and tools to advance text-intensive research, and break down the boundaries between domains, to foster exchange and new collaborations among like-minded researchers. TextXD aims to:

  • Foster a cross-disciplinary community of text processing experts from academia, research, and industry.
  • Develop a shared understanding of each other’s use of text processing data, algorithms, and software.
  • Help us learn from one another, through tutorials, and collaborative work sessions, about available tools and methods, and the applicability of these to various discipline-specific problems.

TextXD seeks to facilitate mutually beneficial collaborations by hosting natural language processing (NLP) groups activities, including semesterly symposia to surface common NLP problems and new opportunities for cross-disciplinary collaboration. 

-- TextXD 2020 and ‘Law and Society’ Hackathon -- December 10-12, 2020
-- TextXD 2019
-- 2018 TextXD Symposium
-- 2017 TextXD Conference

BIDS Affiliates

Adam G. Anderson

Research Training Program Manager

Heather Haveman

Sociology and Business/Management, Haas School of Business, UC Berkeley
BIDS Faculty Council

Ciera Martinez

Biodiversity and Environmental Sciences Lead

David Mongeau

Executive Director

Maryam Vareth

Health and Life Sciences Lead

Niek Veldhuis

Assyriology, Near Eastern Studies, UC Berkeley
BIDS Faculty Council