activity
20192026
most citedHow the world's collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter

63 citations · 240 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.CL2021★ 9 cited

Augmenting semantic lexicons using word embeddings and transfer learning

Thayer Alshaabi, Colin M. Van Oort, Mikaela Irene Fudolig +3

Sentiment-aware intelligent systems are essential to a wide array of applications. These systems are driven by language models which broadly fall into two paradigms: Lexicon-based…

cs.CL2021★ 1 cited

Ousiometrics: The essence of meaning aligns with a power-danger-structure framework instead of valence-arousal-dominance

P. S. Dodds, T. Alshaabi, M. I. Fudolig +7

From work emerging through the middle of the 20th century, the essence of meaning has become widely accepted as being described by the three orthogonal dimensions of valence, arous…

cs.CL2021★ 20 cited

Sentiment and structure in word co-occurrence networks on Twitter

Mikaela Irene Fudolig, Thayer Alshaabi, Michael V. Arnold +2

We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of…

cs.SI2021★ 7 cited

Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd

Henry H. Wu, Ryan J. Gallagher, Thayer Alshaabi +7

The murder of George Floyd by police in May 2020 sparked international protests and renewed attention in the Black Lives Matter movement. Here, we characterize ways in which the on…

physics.soc-ph2021★ 4 cited

Quantifying language changes surrounding mental health on Twitter

Anne Marie Stupinski, Thayer Alshaabi, Michael V. Arnold +5

Mental health challenges are thought to afflict around 10% of the global population each year, with many going untreated due to stigma and limited access to services. Here, we expl…