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Inferring User Political Preferences from Streaming Communications
Svitlana Volkova
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Glen Coppersmith
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Benjamin Van Durme
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
“All I know about politics is what I read in Twitter”: Weakly Supervised Models for Extracting Politicians’ Stances From Twitter
Kristen Johnson
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Dan Goldwasser
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Predicting Restaurant Consumption Level through Social Media Footprints
Yang Xiao
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Yuan Wang
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Hangyu Mao
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Zhen Xiao
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Style Obfuscation by Invariance
Chris Emmery
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Enrique Manjavacas Arevalo
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Grzegorz Chrupała
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User-Level Race and Ethnicity Predictors from Twitter Text
Daniel Preoţiuc-Pietro
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Lyle Ungar
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Open Extraction of Fine-Grained Political Statements
David Bamman
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Noah A. Smith
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Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors
Weiwei Yang
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Jordan Boyd-Graber
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Philip Resnik
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Fluency detection on communication networks
Tom Lippincott
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Benjamin Van Durme
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evision PDF of 'Multitask Learning for Mental Health Conditions with Limited Social Media Data
Adrian Benton
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Margaret Mitchell
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Dirk Hovy
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An Empirical Exploration of Moral Foundations Theory in Partisan News Sources
Dean Fulgoni
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Jordan Carpenter
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Lyle Ungar
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Daniel Preoţiuc-Pietro
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Analyzing Biases in Human Perception of User Age and Gender from Text
Lucie Flekova
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Jordan Carpenter
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Salvatore Giorgi
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Lyle Ungar
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Daniel Preoţiuc-Pietro
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Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast
Svitlana Volkova
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Yoram Bachrach
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Learning Multiview Embeddings of Twitter Users
Adrian Benton
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Raman Arora
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Mark Dredze
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The Social Impact of Natural Language Processing
Dirk Hovy
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Shannon L. Spruit
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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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Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter
Kristen Johnson
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Di Jin
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Dan Goldwasser
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Demographic Inference on Twitter using Recursive Neural Networks
Sunghwan Mac Kim
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Qiongkai Xu
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Lizhen Qu
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Stephen Wan
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Cécile Paris
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The role of personality, age, and gender in tweeting about mental illness
Daniel Preoţiuc-Pietro
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Johannes Eichstaedt
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Gregory Park
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Maarten Sap
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Laura Smith
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Victoria Tobolsky
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H. Andrew Schwartz
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Lyle Ungar
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Better Together: Combining Language and Social Interactions into a Shared Representation
Yi-Yu Lai
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Chang Li
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Dan Goldwasser
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Jennifer Neville
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#WhoAmI in 160 Characters? Classifying Social Identities Based on Twitter Profile Descriptions
Anna Priante
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Djoerd Hiemstra
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Tijs van den Broek
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Aaqib Saeed
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Michel Ehrenhard
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Ariana Need
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Identifying Stance by Analyzing Political Discourse on Twitter
Kristen Johnson
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Dan Goldwasser
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Aligning Entity Names with Online Aliases on Twitter
Kevin McKelvey
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Peter Goutzounis
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Stephen da Cruz
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Nathanael Chambers
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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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How Does Twitter User Behavior Vary Across Demographic Groups?
Zach Wood-Doughty
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Michael Smith
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David Broniatowski
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Mark Dredze
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Simple Queries as Distant Labels for Predicting Gender on Twitter
Chris Emmery
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Grzegorz Chrupała
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Walter Daelemans
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The Social and the Neural Network: How to Make Natural Language Processing about People again
Dirk Hovy
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Predicting Twitter User Demographics from Names Alone
Zach Wood-Doughty
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Nicholas Andrews
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Rebecca Marvin
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Mark Dredze
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http://www.demographicspro.com/
http://www.wolframalpha.com/facebook/
http://www.cs.jhu.edu/
http://icwsm.cs.mcgill.ca/
http://www.wefollow.com
http://www.sysomos.com/insidetwitter/
http://www.tweetcongress.org
http://money.cnn.com/2013/08/26/technology/social/
http://techcrunch.com/2012/07/30/analyst-twitter-
http://expandedramblings.com/index.php/march-
Field Of Study
Linguistic Trends
Discourse
Morphology
Task
Sentiment Analysis
Machine Translation
OCR
Social Science
Approach
Bayesian Model
Generative Model
Dataset
News
Biographies
Social Media
Twitter
Blogs
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