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KLUE: Simple and robust methods for polarity classification
Thomas Proisl
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Paul Greiner
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Stefan Evert
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Besim Kabashi
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia, USA
Venue:
*SEMEVAL |
Citations
URL
SentiKLUE: Updating a Polarity Classifier in 48 Hours
Stefan Evert
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Thomas Proisl
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Paul Greiner
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Besim Kabashi
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SNAP: A Multi-Stage XML-Pipeline for Aspect Based Sentiment Analysis
Clemens Schulze Wettendorf
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Robin Jegan
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Allan Körner
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Julia Zerche
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Nataliia Plotnikova
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Julian Moreth
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Tamara Schertl
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Verena Obermeyer
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Susanne Streil
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Tamara Willacker
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Stefan Evert
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Webis: An Ensemble for Twitter Sentiment Detection
Matthias Hagen
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Martin Potthast
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Michel Büchner
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Benno Stein
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KLUEless: Polarity Classification and Association
Nataliia Plotnikova
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Micha Kohl
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Kevin Volkert
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Stefan Evert
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Andreas Lerner
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Natalie Dykes
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Heiko Ermer
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I2RNTU at SemEval-2016 Task 4: Classifier Fusion for Polarity Classification in Twitter
Zhengchen Zhang
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Chen Zhang
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Fuxiang Wu
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Dong-Yan Huang
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Weisi Lin
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Minghui Dong
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Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation
Elisavet Palogiannidi
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Athanasia Kolovou
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Fenia Christopoulou
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Filippos Kokkinos
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Elias Iosif
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Nikolaos Malandrakis
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Haris Papageorgiou
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Shrikanth Narayanan
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Alexandros Potamianos
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SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification
Raphaël Troncy
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Enrico Palumbo
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Efstratios Sygkounas
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Giuseppe Rizzo
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SoMaJo: State-of-the-art tokenization for German web and social media texts
Thomas Proisl
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Peter Uhrig
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EmotiKLUE at IEST 2018: Topic-Informed Classification of Implicit Emotions
Thomas Proisl
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Philipp Heinrich
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Besim Kabashi
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Stefan Evert
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http://daringfireball.net/2010/07/
http://snowball.tartarus.org/
http://www2.imm.dtu.dk/pubdb/p.php?6010
http://wacky.sslmit
http://www.cs.york.ac.uk/semeval-2013/
http://t.co/mAljf6eT
http://www.ark.cs.cmu.edu/TweetNLP/
Field Of Study
Task
Tagging
Sentiment Analysis
Language
English
Dataset
Twitter
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