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Sentiment Analysis

2,534 papers

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Papers

Controlling Human Perception of Basic User Traits EMNLP 2017 Cross-Lingual Sentiment Analysis Without (Good) Translation IJCNLP 2017 CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification SemEval 2017 Deeper Attention to Abusive User Content Moderation EMNLP 2017 Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction EMNLP 2017 Demographic Word Embeddings for Racism Detection on Twitter IJCNLP 2017 Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension EMNLP 2017 DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis SemEval 2017 ECNU at SemEval-2017 Task 4: Evaluating Effective Features on Machine Learning Methods for Twitter Message Polarity Classification SemEval 2017 ECNU at SemEval-2017 Task 5: An Ensemble of Regression Algorithms with Effective Features for Fine-Grained Sentiment Analysis in Financial Domain SemEval 2017 EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks ACL 2017 Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets EACL 2017 Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study EACL 2017 Extracting and Understanding Contrastive Opinion through Topic Relevant Sentences IJCNLP 2017 Feature Selection as Causal Inference: Experiments with Text Classification CoNLL 2017 FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings SemEval 2017 funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts SemEval 2017 funSentiment at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs Using Word Vectors Built from StockTwits and Twitter SemEval 2017 Human Centered NLP with User-Factor Adaptation EMNLP 2017 IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News SemEval 2017 Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters EMNLP 2017 Identifying Humor in Reviews using Background Text Sources EMNLP 2017 Idiom-Aware Compositional Distributed Semantics EMNLP 2017 IIIT-H at IJCNLP-2017 Task 3: A Bidirectional-LSTM Approach for Review Opinion Diversification IJCNLP 2017 IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text SemEval 2017