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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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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification
Abdelghani Dahou
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Shengwu Xiong
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Junwei Zhou
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Mohamed Houcine Haddoud
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Pengfei Duan
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Agreement and Disagreement: Comparison of Points of View in the Political Domain
Stefano Menini
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Sara Tonelli
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“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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How Predictable is Your State? Leveraging Lexical and Contextual Information for Predicting Legislative Floor Action at the State Level
Vladimir Eidelman
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Anastassia Kornilova
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Daniel Argyle
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Learning What to Share: Leaky Multi-Task Network for Text Classification
Liqiang Xiao
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Honglun Zhang
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Wenqing Chen
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Yongkun Wang
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Yaohui Jin
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A Neural Network for Factoid Question Answering over Paragraphs
Mohit Iyyer
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Jordan Boyd-Graber
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Leonardo Claudino
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Richard Socher
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Hal Daumé III
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Convolutional Neural Networks for Sentence Classification
Yoon Kim
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Open Extraction of Fine-Grained Political Statements
David Bamman
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Noah A. Smith
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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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Rotated Word Vector Representations and their Interpretability
Sungjoon Park
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JinYeong Bak
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Alice Oh
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Asking too much? The rhetorical role of questions in political discourse
Justine Zhang
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Arthur Spirling
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Cristian Danescu-Niculescu-Mizil
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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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Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models
Thang Nguyen
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Jordan Boyd-Graber
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Jeffrey Lund
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Kevin Seppi
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Eric Ringger
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Feuding Families and Former Friends: Unsupervised Learning for Dynamic Fictional Relationships
Mohit Iyyer
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Anupam Guha
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Snigdha Chaturvedi
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Jordan Boyd-Graber
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Hal Daumé III
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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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Deep Unordered Composition Rivals Syntactic Methods for Text Classification
Mohit Iyyer
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Varun Manjunatha
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Jordan Boyd-Graber
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Hal Daumé III
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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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ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling
Forough Poursabzi-Sangdeh
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Jordan Boyd-Graber
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Leah Findlater
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Kevin Seppi
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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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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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Natural Language Processing Technologies for Document Profiling
Antonio Guillén
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Yoan Gutiérrez
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Rafael Muñoz
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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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Tracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013–2014
Peter Potash
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Alexey Romanov
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Mikhail Gronas
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Anna Rumshisky
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Mikhail Gronas
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PLN-PUCRS at EmoInt-2017: Psycholinguistic features for emotion intensity prediction in tweets
Henrique Santos
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Renata Vieira
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Network Visualisations for Exploring Political Concepts
Paul Nulty
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Political discourse classification in social networks using context sensitive convolutional neural networks
Aritz Bilbao-Jayo
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Aitor Almeida
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Dave the debater: a retrieval-based and generative argumentative dialogue agent
Dieu Thu Le
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Cam-Tu Nguyen
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Kim Anh Nguyen
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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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http://cs.umd.edu/
Field Of Study
Linguistic Trends
Discourse
Embeddings
Syntax
Task
Sentiment Analysis
OCR
Approach
Deep Learning
Dataset
News
Social Media
Twitter
Blogs
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