The premier text-focused data science conference at the University of California, Berkeley.
The Conference Program will be available early December.
Hosted by Berkeley Institute for Data Science (BIDS)
The Berkeley Institute for Data Science thanks Accenture AppIied Intelligence for its support of our conference this year.
TextXD brings together researchers from across a wide range of disciplines, who work with text as a primary source of data. 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. We encourage scholars and practitioners from a broad disciplinary and geographic range to apply. Talks will range from the theory of text analysis and deep learning to applied analyses or new software packages.
SCHEDULE IN BRIEF:
We understand that some of the best work on text analysis across domains is still in development. For this reason, we wish to encourage you to share your work with us by submitting a short 3-5 minute lightning talk of your research involving text analysis.
🗓️ We will accept submissions up until November 15, 2020.
This year we wish to hold a three-day (48 hour) hackathon. The theme of the hackathon will be “Law and Society”, and the dataset we will be analyzing will reflect an archive of texts from investigative reporting on the subject of police (mis)conduct.
🗓️ We will accept applications up until November 15, 2020.
Molecular and Cell Biology
Sociology & Haas School of Business
Health & Life Sciences
CTSI & Information Commons
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