Papers
SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model
Angel Deborah S, S Milton Rajendram, T T Mirnalinee
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines
Youness Mansar, Lorenzo Gatti, Sira Ferradans et al.
ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification
Yunxiao Zhou, Man Lan, Yuanbin Wu
UCSC-NLP at SemEval-2017 Task 4: Sense n-grams for Sentiment Analysis in Twitter
José Abreu, Iván Castro, Claudia Martínez et al.
TSA-INF at SemEval-2017 Task 4: An Ensemble of Deep Learning Architectures Including Lexicon Features for Twitter Sentiment Analysis
Amit Ajit Deshmane, Jasper Friedrichs
YNU-HPCC at SemEval 2017 Task 4: Using A Multi-Channel CNN-LSTM Model for Sentiment Classification
Haowei Zhang, Jin Wang, Jixian Zhang et al.
NileTMRG at SemEval-2017 Task 4: Arabic Sentiment Analysis
Samhaa R. El-Beltagy, Mona El Kalamawy, Abu Bakr Soliman
TakeLab at SemEval-2017 Task 4: Recent Deaths and the Power of Nostalgia in Sentiment Analysis in Twitter
David Lozić, Doria Šarić, Ivan Tokić et al.
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches
Deger Ayata, Murat Saraclar, Arzucan Ozgur
INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis
Sabino Miranda-Jiménez, Mario Graff, Eric Sadit Tellez et al.
TopicThunder at SemEval-2017 Task 4: Sentiment Classification Using a Convolutional Neural Network with Distant Supervision
Simon Müller, Tobias Huonder, Jan Deriu et al.
DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis
Christos Baziotis, Nikos Pelekis, Christos Doulkeridis
funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts
Quanzhi Li, Armineh Nourbakhsh, Xiaomo Liu et al.
EICA at SemEval-2017 Task 4: A Simple Convolutional Neural Network for Topic-based Sentiment Classification
Maoquan Wang, Shiyun Chen, Yufei Xie et al.
Adullam at SemEval-2017 Task 4: Sentiment Analyzer Using Lexicon Integrated Convolutional Neural Networks with Attention
Joosung Yoon, Kigon Lyu, Hyeoncheol Kim
XJSA at SemEval-2017 Task 4: A Deep System for Sentiment Classification in Twitter
Yazhou Hao, YangYang Lan, Yufei Li et al.
ELiRF-UPV at SemEval-2017 Task 4: Sentiment Analysis using Deep Learning
José-Ángel González, Ferran Pla, Lluís-F. Hurtado
LSIS at SemEval-2017 Task 4: Using Adapted Sentiment Similarity Seed Words For English and Arabic Tweet Polarity Classification
Amal Htait, Sébastien Fournier, Patrice Bellot
YNUDLG at SemEval-2017 Task 4: A GRU-SVM Model for Sentiment Classification and Quantification in Twitter
Ming Wang, Biao Chu, Qingxun Liu et al.
SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier
Angel Deborah S, S Milton Rajendram, T T Mirnalinee
DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis
Symeon Symeonidis, Dimitrios Effrosynidis, John Kordonis et al.