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*SEMEVAL - 2016
Total Papers:- 240
Total Papers accross all years:- 1898
Total Citations :- 1236
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UDLAP at SemEval-2016 Task 4: Sentiment Quantification Using a Graph Based Representation
Esteban Castillo |
Ofelia Cervantes |
Darnes Vilariño |
David Báez |
GTI at SemEval-2016 Task 4: Training a Naive Bayes Classifier using Features of an Unsupervised System
Jonathan Juncal-Martínez |
Tamara Álvarez-López |
Milagros Fernández-Gavilanes |
Enrique Costa-Montenegro |
Francisco Javier González-Castaño |
Aicyber at SemEval-2016 Task 4: i-vector based sentence representation
Steven Du |
Xi Zhang |
PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis
Mateusz Lango |
Dariusz Brzezinski |
Jerzy Stefanowski |
mib at SemEval-2016 Task 4a: Exploiting lexicon based features for Sentiment Analysis in Twitter
Vittoria Cozza |
Marinella Petrocchi |
MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification
Hang Gao |
Tim Oates |
CICBUAPnlp at SemEval-2016 Task 4-A: Discovering Twitter Polarity using Enhanced Embeddings
Helena Gomez |
Darnes Vilariño |
Grigori Sidorov |
David Pinto Avendaño |
Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis
Dario Stojanovski |
Gjorgji Strezoski |
Gjorgji Madjarov |
Ivica Dimitrovski |
DSIC-ELIRF at SemEval-2016 Task 4: Message Polarity Classification in Twitter using a Support Vector Machine Approach
Víctor Martinez Morant |
LLuís-F. Hurtado |
Ferran Pla |
UniPI at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification
Giuseppe Attardi |
Daniele Sartiano |
IIP at SemEval-2016 Task 4: Prioritizing Classes in Ensemble Classification for Sentiment Analysis of Tweets
Jasper Friedrichs |
SentimentalITsts at SemEval-2016 Task 4: building a Twitter sentiment analyzer in your backyard
Cosmin Florean |
Oana Bejenaru |
Eduard Apostol |
Octavian Ciobanu |
Adrian Iftene |
Diana Trandabăţ |
YZU-NLP Team at SemEval-2016 Task 4: Ordinal Sentiment Classification Using a Recurrent Convolutional Network
Yunchao He |
Liang-Chih Yu |
Chin-Sheng Yang |
K. Robert Lai |
Weiyi Liu |
ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter
Yunxiao Zhou |
Zhihua Zhang |
Man Lan |
OPAL at SemEval-2016 Task 4: the Challenge of Porting a Sentiment Analysis System to the “Real” World
Alexandra Balahur |
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