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Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter
Shane Bergsma
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Mark Dredze
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Benjamin Van Durme
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Theresa Wilson
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David Yarowsky
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia
Venue:
NAACL |
Citations
URL
Hierarchical Discriminative Classification for Text-Based Geolocation
Benjamin Wing
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Jason Baldridge
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Now We Stronger than Ever: African-American English Syntax in Twitter
Ian Stewart
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One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter
Spandana Gella
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Paul Cook
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Timothy Baldwin
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A Computational Analysis of the Language of Drug Addiction
Carlo Strapparava
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Rada Mihalcea
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Extracting Human Temporal Orientation from Facebook Language
H. Andrew Schwartz
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Gregory Park
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Maarten Sap
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Evan Weingarten
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Johannes Eichstaedt
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Margaret Kern
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David Stillwell
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Michal Kosinski
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Jonah Berger
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Martin Seligman
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Lyle Ungar
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Using Conceptual Class Attributes to Characterize Social Media Users
Shane Bergsma
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Benjamin Van Durme
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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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Demographic Factors Improve Classification Performance
Dirk Hovy
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Who caught a cold ? - Identifying the subject of a symptom
Shin Kanouchi
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Mamoru Komachi
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Naoaki Okazaki
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Eiji Aramaki
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Hiroshi Ishikawa
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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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Demographer: Extremely Simple Name Demographics
Rebecca Knowles
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Josh Carroll
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Mark Dredze
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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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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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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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No URLs Found
Field Of Study
Task
Chunking
Language
Urdu
French
Arabic
Dataset
Social Media
Twitter
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