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Sentiment Analysis

1775 directly classified papers

Papers per year

Papers

SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features SEMEVAL 2017
NRU-HSE at SemEval-2017 Task 4: Tweet Quantification Using Deep Learning Architecture SEMEVAL 2017
Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter SEMEVAL 2017
OMAM at SemEval-2017 Task 4: English Sentiment Analysis with Conditional Random Fields SEMEVAL 2017
TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier SEMEVAL 2017
SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification SEMEVAL 2017
SINAI at SemEval-2017 Task 4: User based classification SEMEVAL 2017
CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification SEMEVAL 2017
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings SEMEVAL 2017
NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis SEMEVAL 2017
SemEval-2017 Task 4: Sentiment Analysis in Twitter SEMEVAL 2017
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features SEMEVAL 2017
SemEval-2017 Task 6: #HashtagWars: Learning a Sense of Humor SEMEVAL 2017
Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese ACML 2017
Interactive Attention Networks for Aspect-Level Sentiment Classification IJCAI 2017
Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis IJCNLP 2017
Recurrent Attention Network on Memory for Aspect Sentiment Analysis EMNLP 2017
A Cognition Based Attention Model for Sentiment Analysis EMNLP 2017
Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal EMNLP 2017
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis EMNLP 2017
Idiom-Aware Compositional Distributed Semantics EMNLP 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
Connotation Frames of Power and Agency in Modern Films EMNLP 2017
Identifying Humor in Reviews using Background Text Sources EMNLP 2017