TextXD - Text Analysis Across Domains

BIDS TextXD 2022 – December 5-7, 2022, in Berkeley, CA – Registration opens August 15, 2022.
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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. 

BIDS Affiliates


Niek Veldhuis

Assyriology, Near Eastern Studies, UC Berkeley
BIDS Faculty Council

Heather Haveman

Sociology, Haas School of Business, UC Berkeley
Associate Faculty Director