activity
20132023
most citedThe Geography of Happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place

526 citations · 1.6k across the 39 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2023★ 1 cited

Personality Profiling: How informative are social media profiles in predicting personal information?

Joshua Watt, Lewis Mitchell, Jonathan Tuke

Personality profiling has been utilised by companies for targeted advertising, political campaigns and public health campaigns. However, the accuracy and versatility of such models…

cs.CL2022★ 1 cited

Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework

Curtis Murray, Lewis Mitchell, Jonathan Tuke +1

Understanding patient experience in healthcare is increasingly important and desired by medical professionals in a patient-centered care approach. Healthcare discourse on social me…

cs.CL2020★ 75 cited

Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts

Ryan J. Gallagher, Morgan R. Frank, Lewis Mitchell +4

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, colla…

cs.CL2020★ 13 cited

Symptom extraction from the narratives of personal experiences with COVID-19 on Reddit

Curtis Murray, Lewis Mitchell, Jonathan Tuke +1

Social media discussion of COVID-19 provides a rich source of information into how the virus affects people's lives that is qualitatively different from traditional public health d…

cs.CL2016★ 271 cited

The emotional arcs of stories are dominated by six basic shapes

Andrew J. Reagan, Lewis Mitchell, Dilan Kiley +2

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. Ou…