| DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis | Aug 1, 2017 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification | Aug 1, 2017 | General ClassificationOpinion Mining | —Unverified | 0 |
| Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information | Aug 1, 2017 | Feature EngineeringQuestion Answering | —Unverified | 0 |
| EICA at SemEval-2017 Task 4: A Simple Convolutional Neural Network for Topic-based Sentiment Classification | Aug 1, 2017 | ClassificationFeature Engineering | —Unverified | 0 |
| funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts | Aug 1, 2017 | ClassificationGeneral Classification | —Unverified | 0 |
| Learning Word Representations with Regularization from Prior Knowledge | Aug 1, 2017 | Language ModelingLanguage Modelling | —Unverified | 0 |
| TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification | Aug 1, 2017 | General ClassificationOpinion Mining | —Unverified | 0 |
| Tw-StAR at SemEval-2017 Task 4: Sentiment Classification of Arabic Tweets | Aug 1, 2017 | Decision MakingGeneral Classification | —Unverified | 0 |
| Multitask Learning for Fine-Grained Twitter Sentiment Analysis | Jul 12, 2017 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Deep Pyramid Convolutional Neural Networks for Text Categorization | Jul 1, 2017 | Sentiment AnalysisSentiment Classification | CodeCode Available | 0 |
