Sentiment Analysis

Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter ACL 2017 SINAI at SemEval-2017 Task 4: User based classification SemEval 2017 Single and Cross-domain Polarity Classification using String Kernels EACL 2017 SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features SemEval 2017 SMARTies: Sentiment Models for Arabic Target entities EACL 2017 SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier SemEval 2017 Stance Classification of Context-Dependent Claims EACL 2017 Stance Classification with Target-specific Neural Attention IJCAI 2017 TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news SemEval 2017 TDParse: Multi-target-specific sentiment recognition on Twitter EACL 2017 Tensor Fusion Network for Multimodal Sentiment Analysis EMNLP 2017 Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information IJCNLP 2017 THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM IJCNLP 2017 TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter IJCNLP 2017 Towards a Seamless Integration of Word Senses into Downstream NLP Applications ACL 2017 Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features IJCNLP 2017 TrentoTeam at SemEval-2017 Task 3: An application of Grice Maxims in Ranking Community Question Answers SemEval 2017 Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter SemEval 2017 TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier SemEval 2017 UCSC-NLP at SemEval-2017 Task 4: Sense n-grams for Sentiment Analysis in Twitter SemEval 2017 Using Argument-based Features to Predict and Analyse Review Helpfulness EMNLP 2017 Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm EMNLP 2017 UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features SemEval 2017 UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation SemEval 2017 Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models ACL 2017