Core team:

Jake Williams


Department of Mathematics and Statistics, Assistant Professor

Most recent papers:

Sentiment analysis methods for understanding large-scale texts: A case for using continuum-scored words and word shift graphs.

Andy Reagan, Chris Danforth, Brian Tivnan, Jake Williams, Peter Sheridan Dodds. EPJ Data Science, 28, 6, 2017.
[pdf] [arXiv]

Simon's fundamental rich-gets-richer model entails a dominant first-mover advantage.

Peter Sheridan Dodds, David Dewhurst, Lewis Mitchell, Andy Reagan, Jake Williams, Chris Danforth. Physical Review E, , 95, 2017.
[pdf] [journal page] [arXiv]

The Lexicocalorimeter: Gauging public health through caloric input and output on social media.

Sharon Alajajian, Jake Williams, Andy Reagan, Stephen C. Alajajian, Morgan Frank, Lewis Mitchell, Jacob Lahne, Chris Danforth, Peter Sheridan Dodds. PLoS ONE, e0168893, 12, 2017.
[pdf] [journal page] [arXiv]

Sifting robotic from organic text: A natural language approach for detecting automation on Twitter.

Jake Williams, Chris Jones, Richard Galbraith, Chris Danforth, Peter Sheridan Dodds. Journal of Computational Science, 1-7, 16, 2016.
[pdf] [journal page]

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Most recent press: