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Beyond Binary Labels: Political Ideology Prediction of Twitter Users
Daniel Preoţiuc-Pietro
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Ye Liu
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Daniel Hopkins
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Lyle Ungar
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
User-Level Race and Ethnicity Predictors from Twitter Text
Daniel Preoţiuc-Pietro
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Lyle Ungar
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Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media
Isabel Cachola
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Eric Holgate
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Daniel Preoţiuc-Pietro
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Junyi Jessy Li
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Controlling Human Perception of Basic User Traits
Daniel Preoţiuc-Pietro
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Sharath Chandra Guntuku
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Lyle Ungar
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Multi-view Models for Political Ideology Detection of News Articles
Vivek Kulkarni
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Junting Ye
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Steve Skiena
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William Yang Wang
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Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions
Eric Holgate
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Isabel Cachola
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Daniel Preoţiuc-Pietro
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Junyi Jessy Li
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Classification of Moral Foundations in Microblog Political Discourse
Kristen Johnson
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Dan Goldwasser
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Diachronic degradation of language models: Insights from social media
Kokil Jaidka
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Niyati Chhaya
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Lyle Ungar
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Party Matters: Enhancing Legislative Embeddings with Author Attributes for Vote Prediction
Anastassia Kornilova
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Daniel Argyle
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Vladimir Eidelman
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Personality Driven Differences in Paraphrase Preference
Daniel Preoţiuc-Pietro
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Jordan Carpenter
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Lyle Ungar
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Improving Classification of Twitter Behavior During Hurricane Events
Kevin Stowe
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Jennings Anderson
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Martha Palmer
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Leysia Palen
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Ken Anderson
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https://doi.org/10.18653/v1/P17-1068
https://doi.org/10.18653/v1/P17-1068
http://www.preotiuc.ro
Field Of Study
Task
OCR
Dataset
News
Social Media
Twitter
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