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open access

Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

Description: In this paper, the authors discuss research on whether they can use Mechanical Turk (MTurk) to acquire good annotations with respect to gold-standard data, whether they can filter out low-quality workers (spammers), and whether there is a learning effect associated with repeatedly completing the same kind of task.
Date: June 2010
Creator: Akkaya, Cem; Conrad, Alexander; Wiebe, Janyce M. & Mihalcea, Rada, 1974-
Partner: UNT College of Engineering

A Framework to Simulate and Visualize Epidemics

Description: This poster was featured at the 2013 Perot Museum of Nature and Science's 'Social Science' exhibit. The poster discusses a framework to simulate and visualize epidemics.
Date: June 21, 2013
Creator: Mikler, Armin R.; O'Neill, Marty; Helsing, Joseph; Camp, Taylor & Indrakanti, Saratchandra
Partner: UNT College of Engineering

Global Stochastic Field Simulator

Description: This poster was featured at the 2013 Perot Museum of Nature and Science's 'Social Science' exhibit. It discusses the Global Stochastic Field Simulator, conceived in the summer of 2011.
Date: June 21, 2013
Creator: Mikler, Armin R.; O'Neill, Marty; Helsing, Joseph; Camp, Taylor & Indrakanti, Saratchandra
Partner: UNT College of Engineering
open access

Incorporating Emoji Descriptions Improves Tweet Classification

Description: Article presenting a simple strategy to process emojis in Tweets: replace them with their natural language description and use pretrained word embeddings as normally done with standard words. Results show that this strategy is more effective than using pretrained emoji embeddings for tweet classification.
Date: June 2019
Creator: Singh, Abhishek K.; Blanco, Eduardo & Jin, Wei
Partner: UNT College of Engineering
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