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*SEMEVAL - 2013
Total Papers:- 159
Total Papers accross all years:- 1898
Total Citations :- 1107
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CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
Qi Han |
Junfei Guo |
Hinrich Schuetze |
FBM: Combining lexicon-based ML and heuristics for Social Media Polarities
Carlos Rodríguez-Penagos |
Jordi Atserias Batalla |
Joan Codina-Filbà |
David García-Narbona |
Jens Grivolla |
Patrik Lambert |
Roser Saurí |
Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
Sara Rosenthal |
Kathy McKeown |
SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking
Yannick Versley |
SAIL: A hybrid approach to sentiment analysis
Nikolaos Malandrakis |
Abe Kazemzadeh |
Alexandros Potamianos |
Shrikanth Narayanan |
Duluth : Word Sense Induction Applied to Web Page Clustering
Ted Pedersen |
NTNU: Domain Semi-Independent Short Message Sentiment Classification
Øyvind Selmer |
Mikael Brevik |
Björn Gambäck |
Lars Bungum |
Bootstrapping Semantic Role Labelers from Parallel Data
Mikhail Kozhevnikov |
Ivan Titov |
FBK: Sentiment Analysis in Twitter with Tweetsted
Md. Faisal Mahbub Chowdhury |
Marco Guerini |
Sara Tonelli |
Alberto Lavelli |
UCAM-CORE: Incorporating structured distributional similarity into STS
Tamara Polajnar |
Laura Rimell |
Douwe Kiela |
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features
Davide Buscaldi |
Joseph Le Roux |
Jorge J. García Flores |
Adrian Popescu |
SINAI: Machine Learning and Emotion of the Crowd for Sentiment Analysis in Microblogs
Eugenio Martínez-Cámara |
Arturo Montejo-Ráez |
M. Teresa Martín-Valdivia |
L. Alfonso Ureña-López |
[LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter
Morgane Marchand |
Alexandru Ginsca |
Romaric Besançon |
Olivier Mesnard |
TJP: Using Twitter to Analyze the Polarity of Contexts
Tawunrat Chalothorn |
Jeremy Ellman |
KLUE-CORE: A regression model of semantic textual similarity
Paul Greiner |
Thomas Proisl |
Stefan Evert |
Besim Kabashi |
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