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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
Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association
EMNLP 2017
Tensor Fusion Network for Multimodal Sentiment Analysis
EMNLP 2017
ConStance: Modeling Annotation Contexts to Improve Stance Classification
EMNLP 2017
Deeper Attention to Abusive User Content Moderation
EMNLP 2017
Human Centered NLP with User-Factor Adaptation
EMNLP 2017
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension
EMNLP 2017
Controlling Human Perception of Basic User Traits
EMNLP 2017
Deep Multi-Task Learning for Aspect Term Extraction with Memory Interaction
EMNLP 2017
MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions
EMNLP 2017
Computational Sarcasm
EMNLP 2017
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation
ACL 2017
Towards a Seamless Integration of Word Senses into Downstream NLP Applications
ACL 2017
Linguistic analysis of differences in portrayal of movie characters
ACL 2017
EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
ACL 2017
An Unsupervised Neural Attention Model for Aspect Extraction
ACL 2017
NTOUA at IJCNLP-2017 Task 2: Predicting Sentiment Scores of Chinese Words and Phrases
IJCNLP 2017
NCTU-NTUT at IJCNLP-2017 Task 2: Deep Phrase Embedding using bi-LSTMs for Valence-Arousal Ratings Prediction of Chinese Phrases
IJCNLP 2017
MainiwayAI at IJCNLP-2017 Task 2: Ensembles of Deep Architectures for Valence-Arousal Prediction
IJCNLP 2017
LDCCNLP at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases Using Machine Learning
IJCNLP 2017
Bingo at IJCNLP-2017 Task 4: Augmenting Data using Machine Translation for Cross-linguistic Customer Feedback Classification
IJCNLP 2017
IIIT-H at IJCNLP-2017 Task 3: A Bidirectional-LSTM Approach for Review Opinion Diversification
IJCNLP 2017
THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM
IJCNLP 2017
IJCNLP-2017 Task 4: Customer Feedback Analysis
IJCNLP 2017
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)
IJCNLP 2017
TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter
IJCNLP 2017
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