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. 

BIDS Affiliates

Leader

Niek Veldhuis

Assyriology, Near Eastern Studies, UC Berkeley
BIDS Faculty Council
Leader

Heather Haveman

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