NLPExplorer
Papers
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Authors
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Field of Study
URLs
ACL N-gram Stats
TweeNLP
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Team
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis
Robert West
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Hristo S. Paskov
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Jure Leskovec
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Christopher Potts
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Paper Details:
Year: 2014
Venue:
TACL |
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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Fluency detection on communication networks
Tom Lippincott
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Benjamin Van Durme
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Representing Social Media Users for Sarcasm Detection
Y. Alex Kolchinski
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Christopher Potts
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“You’re Mr. Lebowski, I’m the Dude”: Inducing Address Term Formality in Signed Social Networks
Vinodh Krishnan
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Jacob Eisenstein
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Document-level Sentiment Inference with Social, Faction, and Discourse Context
Eunsol Choi
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Hannah Rashkin
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Luke Zettlemoyer
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Yejin Choi
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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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Overcoming Language Variation in Sentiment Analysis with Social Attention
Yi Yang
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Jacob Eisenstein
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Better Together: Combining Language and Social Interactions into a Shared Representation
Yi-Yu Lai
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Chang Li
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Dan Goldwasser
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Jennifer Neville
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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://psl.umiacs.umd.edu
http://en.wikipedia.org/wiki/Wikipedia:RfA
http://infolab.stanford.edu/west1/TACL2014/
Field Of Study
Task
Sentiment Analysis
Summarization
Approach
Graphical Model
Language
English
Dataset
Twitter
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