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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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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
Structured Representation Learning for Online Debate Stance Prediction
Chang Li
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Aldo Porco
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Dan Goldwasser
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The First 100 Days: A Corpus Of Political Agendas on Twitter
Nathan Green
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Septina Larasati
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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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Classification of Tweets about Reported Events using Neural Networks
Kiminobu Makino
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Yuka Takei
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Taro Miyazaki
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Jun Goto
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http://creativecommons.org/licenses/by/4.0/
http://alt.qcri.org/semeval2016/task6/
Field Of Study
Linguistic Trends
Discourse
Task
Sentiment Analysis
Approach
Graphical Model
Language
English
Dataset
News
Social Media
Twitter
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