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Sentiment Analysis of Political Tweets: Towards an Accurate Classifier
Akshat Bakliwal
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Jennifer Foster
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Jennifer van der Puil
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Ron O’Brien
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Lamia Tounsi
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Mark Hughes
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia
Venue:
LASM |
WS |
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 Positions and Topics in Political Discussions of the German Bundestag
Cäcilia Zirn
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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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DCU: Aspect-based Polarity Classification for SemEval Task 4
Joachim Wagner
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Piyush Arora
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Santiago Cortes
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Utsab Barman
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Dasha Bogdanova
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Jennifer Foster
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Lamia Tounsi
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DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis
Symeon Symeonidis
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Dimitrios Effrosynidis
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John Kordonis
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Avi Arampatzis
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Joint Sentence-Document Model for Manifesto Text Analysis
Shivashankar Subramanian
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Trevor Cohn
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Timothy Baldwin
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Julian Brooke
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Bekli:A Simple Approach to Twitter Text Normalization.
Russell Beckley
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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://bbc.in/hJI0hb
Field Of Study
Task
Tagging
Sentiment Analysis
Language
English
Dataset
News
Social Media
Twitter
Blogs
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