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Identifying Opinion Subgroups in Arabic Online Discussions
Amjad Abu-Jbara
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Ben King
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Mona Diab
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Dragomir Radev
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Paper Details:
Month: August
Year: 2013
Location: Sofia, Bulgaria
Venue:
ACL |
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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Exploiting Domain Knowledge in Aspect Extraction
Zhiyuan Chen
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Arjun Mukherjee
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Bing Liu
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Meichun Hsu
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Malu Castellanos
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Riddhiman Ghosh
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SMARTies: Sentiment Models for Arabic Target entities
Noura Farra
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Kathy McKeown
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Joint Models of Disagreement and Stance in Online Debate
Dhanya Sridhar
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James Foulds
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Bert Huang
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Lise Getoor
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Marilyn Walker
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Detecting Deceptive Groups Using Conversations and Network Analysis
Dian Yu
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Yulia Tyshchuk
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Heng Ji
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William Wallace
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Modeling Stance in Student Essays
Isaac Persing
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Vincent Ng
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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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Addressing Annotation Complexity: The Case of Annotating Ideological Perspective in Egyptian Social Media
Heba Elfardy
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Mona Diab
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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://semiocast.com/publications/
Field Of Study
Task
Sentiment Analysis
Language
Multilingual
English
Hindi
Arabic
Dataset
News
Social Media
Twitter
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