833 citations · 4.3k across the 84 of their papers we have counts for
8 papers · 1 filter
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…
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…
Blending search queries with social media data to improve forecasts of economic indicators
Yi Li, Asieh Ahani, Haimao Zhan +6
The forecasting of political, economic, and public health indicators using internet activity has demonstrated mixed results. For example, while some measures of explicitly surveyed…
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…
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…
Sirius: Visualization of Mixed Features as a Mutual Information Network Graph
Jane L. Adams, Todd F. Deluca, Christopher M. Danforth +6
Data scientists across disciplines are increasingly in need of exploratory analysis tools for data sets with a high volume of features of mixed data type (quantitative continuous a…