Lewis Mitchell

Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts

Aug 05, 2020
Ryan J. Gallagher, Morgan R. Frank, Lewis Mitchell, Aaron J. Schwartz, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds

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* 20 pages, 7 figures, 2 tables

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Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit

May 21, 2020
Curtis Murray, Lewis Mitchell, Jonathan Tuke, Mark Mackay

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A framework for streamlined statistical prediction using topic models

Apr 15, 2019
Vanessa Glenny, Jonathan Tuke, Nigel Bean, Lewis Mitchell

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* Proceedings of the 2019 Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL `19)

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Event detection in Twitter: A keyword volume approach

Jan 03, 2019
Ahmad Hany Hossny, Lewis Mitchell

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* In: Proceedings of the 2nd International Workshop on Social Computing (IWSC '18): Spatial Social Behavior Analytics in Urban Society

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Pachinko Prediction: A Bayesian method for event prediction from social media data

Sep 22, 2018
Jonathan Tuke, Andrew Nguyen, Mehwish Nasim, Drew Mellor, Asanga Wickramasinghe, Nigel Bean, Lewis Mitchell

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Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study

Jul 25, 2018
Ahmad Hany Hossny, Terry Moschou, Grant Osborne, Lewis Mitchell, Nick Lothian

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The emotional arcs of stories are dominated by six basic shapes

Sep 26, 2016
Andrew J. Reagan, Lewis Mitchell, Dilan Kiley, Christopher M. Danforth, Peter Sheridan Dodds

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* Manuscript: 10 pages, 7 figures. Supplementary: 81 pages, 29 figures

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Human language reveals a universal positivity bias

Jun 15, 2014
Peter Sheridan Dodds, Eric M. Clark, Suma Desu, Morgan R. Frank, Andrew J. Reagan, Jake Ryland Williams, Lewis Mitchell, Kameron Decker Harris, Isabel M. Kloumann, James P. Bagrow, Karine Megerdoomian, Matthew T. McMahon, Brian F. Tivnan, Christopher M. Danforth

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* Manuscript: 7 pages, 4 figures; Supplementary Material: 49 pages, 43 figures, 6 tables. Online appendices available at http://www.uvm.edu/storylab/share/papers/dodds2014a/

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