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Testing and Comparing Computational Approaches for Identifying the Language of Framing in Political News
Eric Baumer
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Elisha Elovic
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Ying Qin
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Francesca Polletta
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Geri Gay
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
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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Analyzing Framing through the Casts of Characters in the News
Dallas Card
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Justin Gross
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Amber Boydstun
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Noah A. Smith
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Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
Anjalie Field
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Doron Kliger
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Shuly Wintner
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Jennifer Pan
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Dan Jurafsky
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Yulia Tsvetkov
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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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The Media Frames Corpus: Annotations of Frames Across Issues
Dallas Card
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Amber E. Boydstun
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Justin H. Gross
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Philip Resnik
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Noah A. Smith
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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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Classification of Moral Foundations in Microblog Political Discourse
Kristen Johnson
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Dan Goldwasser
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Classifying Frames at the Sentence Level in News Articles
Nona Naderi
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Graeme Hirst
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Identifying Stance by Analyzing Political Discourse on Twitter
Kristen Johnson
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Dan Goldwasser
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http://www.alexa.com/topsites/category/Top/News
http://hdl.handle.net/1813/39216
Field Of Study
Task
Sentiment Analysis
Approach
Topic Modeling
Language
English
Dataset
News
Blogs
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