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Natural Language Processing
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Sentiment Analysis
1775 directly classified papers
Papers per year
2006: 1
2012: 1
2013: 1
2014: 2
2016: 18
2017: 111
2018: 143
2019: 138
2020: 158
2021: 162
2022: 205
2023: 221
2024: 242
2025: 359
2026: 13
Papers
Aspect Based Sentiment Analysis into the Wild
EMNLP 2018
Dual Memory Network Model for Biased Product Review Classification
EMNLP 2018
Amobee at IEST 2018: Transfer Learning from Language Models
EMNLP 2018
IIIDYT at IEST 2018: Implicit Emotion Classification With Deep Contextualized Word Representations
EMNLP 2018
Topic-Specific Sentiment Analysis Can Help Identify Political Ideology
EMNLP 2018
Leveraging Writing Systems Change for Deep Learning Based Chinese Emotion Analysis
EMNLP 2018
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
EMNLP 2018
Homonym Detection For Humor Recognition In Short Text
EMNLP 2018
Linking News Sentiment to Microblogs: A Distributional Semantics Approach to Enhance Microblog Sentiment Classification
EMNLP 2018
The Role of Emotions in Native Language Identification
EMNLP 2018
NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification
EMNLP 2018
EmoNLP at IEST 2018: An Ensemble of Deep Learning Models and Gradient Boosting Regression Tree for Implicit Emotion Prediction in Tweets
EMNLP 2018
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning
EMNLP 2018
EmotionX-AR: CNN-DCNN autoencoder based Emotion Classifier
ACL 2018
BCSAT : A Benchmark Corpus for Sentiment Analysis in Telugu Using Word-level Annotations
ACL 2018
Identifying Opinion-Topics and Polarity of Parliamentary Debate Motions
EMNLP 2018
Disambiguating False-Alarm Hashtag Usages in Tweets for Irony Detection
ACL 2018
Pretraining Sentiment Classifiers with Unlabeled Dialog Data
ACL 2018
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification
ACL 2018
Cold-Start Aware User and Product Attention for Sentiment Classification
ACL 2018
#NonDicevoSulSerio at SemEval-2018 Task 3: Exploiting Emojis and Affective Content for Irony Detection in English Tweets
SEMEVAL 2018
SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron
SEMEVAL 2018
Lancaster at SemEval-2018 Task 3: Investigating Ironic Features in English Tweets
SEMEVAL 2018
Causality Analysis of Twitter Sentiments and Stock Market Returns
ACL 2018
Word Embeddings-Based Uncertainty Detection in Financial Disclosures
ACL 2018
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