3 code implementations • 5 Aug 2020 • Ryan J. Gallagher, Morgan R. Frank, Lewis Mitchell, Aaron J. Schwartz, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds
A common task in computational text analyses is to quantify how two corpora differ according to a measurement like word frequency, sentiment, or information content.
6 code implementations • 25 Jul 2020 • Thayer Alshaabi, Jane L. Adams, Michael V. Arnold, Joshua R. Minot, David R. Dewhurst, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds
In real-time, social media data strongly imprints world events, popular culture, and day-to-day conversations by millions of ordinary people at a scale that is scarcely conventionalized and recorded.
no code implementations • 26 Mar 2018 • Tyler J. Gray, Andrew J. Reagan, Peter Sheridan Dodds, Christopher M. Danforth
We find that the extent of verb regularization is greater on Twitter, taken as a whole, than in English Fiction books.
no code implementations • 17 Dec 2017 • Andrew J. Reagan
Given the growing assortment of sentiment measuring instruments, it is imperative to understand which aspects of sentiment dictionaries contribute to both their classification accuracy and their ability to provide richer understanding of texts.
1 code implementation • 27 Aug 2016 • Andrew G. Reece, Andrew J. Reagan, Katharina L. M. Lix, Peter Sheridan Dodds, Christopher M. Danforth, Ellen J. Langer
Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy).
Physics and Society Social and Information Networks
2 code implementations • 24 Jun 2016 • Andrew J. Reagan, Lewis Mitchell, Dilan Kiley, Christopher M. Danforth, Peter Sheridan Dodds
Advances in computing power, natural language processing, and digitization of text now make it possible to study a culture's evolution through its texts using a "big data" lens.
no code implementations • 22 Jun 2016 • Ryan J. Gallagher, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds
Since the shooting of Black teenager Michael Brown by White police officer Darren Wilson in Ferguson, Missouri, the protest hashtag #BlackLivesMatter has amplified critiques of extrajudicial killings of Black Americans.
no code implementations • 29 Jan 2016 • Jake Ryland Williams, James P. Bagrow, Andrew J. Reagan, Sharon E. Alajajian, Christopher M. Danforth, Peter Sheridan Dodds
The task of text segmentation may be undertaken at many levels in text analysis---paragraphs, sentences, words, or even letters.
2 code implementations • 2 Dec 2015 • Andrew J. Reagan, Brian Tivnan, Jake Ryland Williams, Christopher M. Danforth, Peter Sheridan Dodds
The emergence and global adoption of social media has rendered possible the real-time estimation of population-scale sentiment, bearing profound implications for our understanding of human behavior.
no code implementations • 15 Jun 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
Using human evaluation of 100, 000 words spread across 24 corpora in 10 languages diverse in origin and culture, we present evidence of a deep imprint of human sociality in language, observing that (1) the words of natural human language possess a universal positivity bias; (2) the estimated emotional content of words is consistent between languages under translation; and (3) this positivity bias is strongly independent of frequency of word usage.