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*SEMEVAL - 2016
Total Papers:- 240
Total Papers accross all years:- 1898
Total Citations :- 1236
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I2RNTU at SemEval-2016 Task 4: Classifier Fusion for Polarity Classification in Twitter
Zhengchen Zhang |
Chen Zhang |
Fuxiang Wu |
Dong-Yan Huang |
Weisi Lin |
Minghui Dong |
IIP at SemEval-2016 Task 4: Prioritizing Classes in Ensemble Classification for Sentiment Analysis of Tweets
Jasper Friedrichs |
CU-GWU Perspective at SemEval-2016 Task 6: Ideological Stance Detection in Informal Text
Heba Elfardy |
Mona Diab |
Aicyber at SemEval-2016 Task 4: i-vector based sentence representation
Steven Du |
Xi Zhang |
JU_NLP at SemEval-2016 Task 6: Detecting Stance in Tweets using Support Vector Machines
Braja Gopal Patra |
Dipankar Das |
Sivaji Bandyopadhyay |
PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis
Mateusz Lango |
Dariusz Brzezinski |
Jerzy Stefanowski |
ECNU at SemEval 2016 Task 6: Relevant or Not? Supportive or Not? A Two-step Learning System for Automatic Detecting Stance in Tweets
Zhihua Zhang |
Man Lan |
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 |
mib at SemEval-2016 Task 4a: Exploiting lexicon based features for Sentiment Analysis in Twitter
Vittoria Cozza |
Marinella Petrocchi |
UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination
Ladislav Lenc |
Pavel Král |
Václav Rajtmajer |
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 |
NileTMRG at SemEval-2016 Task 7: Deriving Prior Polarities for Arabic Sentiment Terms
Samhaa R. El-Beltagy |
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 |
MDSENT at SemEval-2016 Task 4: A Supervised System for Message Polarity Classification
Hang Gao |
Tim Oates |
OPAL at SemEval-2016 Task 4: the Challenge of Porting a Sentiment Analysis System to the “Real” World
Alexandra Balahur |
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