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Measuring Ideological Proportions in Political Speeches
Yanchuan Sim
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Brice D. L. Acree
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Justin H. Gross
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Noah A. Smith
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
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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Learning Topics and Positions from Debatepedia
Swapna Gottipati
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Minghui Qiu
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Yanchuan Sim
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Jing Jiang
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Noah A. Smith
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Staying on Topic: An Indicator of Power in Political Debates
Vinodkumar Prabhakaran
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Ashima Arora
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Owen Rambow
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Open Extraction of Fine-Grained Political Statements
David Bamman
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Noah A. Smith
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Topic-Based Agreement and Disagreement in US Electoral Manifestos
Stefano Menini
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Federico Nanni
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Simone Paolo Ponzetto
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Sara Tonelli
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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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Uncertainty-aware generative models for inferring document class prevalence
Katherine Keith
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Brendan O’Connor
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A Study of the Impact of Persuasive Argumentation in Political Debates
Amparo Elizabeth Cano-Basave
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Yulan He
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A Bayesian Mixed Effects Model of Literary Character
David Bamman
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Ted Underwood
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Noah A. Smith
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Political Ideology Detection Using Recursive Neural Networks
Mohit Iyyer
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Peter Enns
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Jordan Boyd-Graber
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Philip Resnik
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Analyzing Positions and Topics in Political Discussions of the German Bundestag
Cäcilia Zirn
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A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns
Oren Tsur
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Dan Calacci
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David Lazer
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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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A Multidimensional Lexicon for Interpersonal Stancetaking
Umashanthi Pavalanathan
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Jim Fitzpatrick
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Scott Kiesling
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Jacob Eisenstein
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Classification of Moral Foundations in Microblog Political Discourse
Kristen Johnson
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Dan Goldwasser
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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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Detecting Sociostructural Beliefs about Group Status Differences in Online Discussions
Brian Riordan
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Heather Wade
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Afzal Upal
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Power of Confidence: How Poll Scores Impact Topic Dynamics in Political Debates
Vinodkumar Prabhakaran
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Ashima Arora
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Owen Rambow
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How can NLP Tasks Mutually Benefit Sentiment Analysis? A Holistic Approach to Sentiment Analysis
Lingjia Deng
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Janyce Wiebe
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Identifying Stance by Analyzing Political Discourse on Twitter
Kristen Johnson
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Dan Goldwasser
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Cross-Lingual Classification of Topics in Political Texts
Goran Glavaš
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Federico Nanni
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Simone Paolo Ponzetto
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Topic-Specific Sentiment Analysis Can Help Identify Political Ideology
Sumit Bhatia
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Deepak P
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Field Of Study
Task
Machine Translation
Approach
Bayesian Model
Language
English
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