Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Reagan, Andrew J."'
Autor:
Gallagher, Ryan J., Frank, Morgan R., Mitchell, Lewis, Schwartz, Aaron J., Reagan, Andrew J., Danforth, Christopher M., Dodds, Peter Sheridan
Publikováno v:
EPJ Data Science, 10(4), 2021
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. However, collapsing the texts' rich stories into a single number is often conceptual
Externí odkaz:
http://arxiv.org/abs/2008.02250
Autor:
Alshaabi, Thayer, Adams, Jane L., Arnold, Michael V., Minot, Joshua R., Dewhurst, David R., Reagan, Andrew J., Danforth, Christopher M., Dodds, Peter Sheridan
Publikováno v:
Sci.Adv. 7 eabe6534 (2021)
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. Vitally, and absent from many standard corpora suc
Externí odkaz:
http://arxiv.org/abs/2007.12988
Autor:
Dodds, Peter Sheridan, Minot, Joshua R., Arnold, Michael V., Alshaabi, Thayer, Adams, Jane Lydia, Dewhurst, David Rushing, Reagan, Andrew J., Danforth, Christopher M.
When building a global brand of any kind -- a political actor, clothing style, or belief system -- developing widespread awareness is a primary goal. Short of knowing any of the stories or products of a brand, being talked about in whatever fashion -
Externí odkaz:
http://arxiv.org/abs/1910.00149
Autor:
Niles, Meredith T., Emery, Benjamin F., Reagan, Andrew J., Dodds, Peter Sheridan, Danforth, Christopher M.
Natural hazards are becoming increasingly expensive as climate change and development are exposing communities to greater risks. Preparation and recovery are critical for climate change resilience, and social media are being used more and more to com
Externí odkaz:
http://arxiv.org/abs/1806.07451
Publikováno v:
PLOS ONE 13(12): e0209651, 2018
The English language has evolved dramatically throughout its lifespan, to the extent that a modern speaker of Old English would be incomprehensible without translation. One concrete indicator of this process is the movement from irregular to regular
Externí odkaz:
http://arxiv.org/abs/1803.09745
Autor:
Reagan, Andrew J.
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. Here,
Externí odkaz:
http://arxiv.org/abs/1712.06163
Autor:
Reece, Andrew G., Reagan, Andrew J., Lix, Katharina L. M., Dodds, Peter Sheridan, Danforth, Christopher M., Langer, Ellen J.
We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We extracted
Externí odkaz:
http://arxiv.org/abs/1608.07740
Autor:
Dodds, Peter Sheridan, Dewhurst, David Rushing, Hazlehurst, Fletcher F., Van Oort, Colin M., Mitchell, Lewis, Reagan, Andrew J., Williams, Jake Ryland, Danforth, Christopher M.
Publikováno v:
Phys. Rev. E 95, 052301 (2017)
Herbert Simon's classic rich-get-richer model is one of the simplest empirically supported mechanisms capable of generating heavy-tail size distributions for complex systems. Simon argued analytically that a population of flavored elements growing by
Externí odkaz:
http://arxiv.org/abs/1608.06313
Solicited public opinion surveys reach a limited subpopulation of willing participants and are expensive to conduct, leading to poor time resolution and a restricted pool of expert-chosen survey topics. In this study, we demonstrate that unsolicited
Externí odkaz:
http://arxiv.org/abs/1608.02024
Autor:
Reagan, Andrew J., Mitchell, Lewis, Kiley, Dilan, Danforth, Christopher M., Dodds, Peter Sheridan
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. Our ability to communicate relies in part upon a shared emotional experi
Externí odkaz:
http://arxiv.org/abs/1606.07772