awesome-sentiment-analysis
github.com/declare-lab/awesome-sentiment-analysis ↗Reading list for Awesome Sentiment Analysis papers
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Beginner's Guide (Must-Read Papers)Survey, Books, and Opinion PiecesAspect-based Sentiment AnalysisMultimodal Sentiment AnalysisContextual Sentiment AnalysisSentiment ReasoningSarcasm AnalysisDomain AdaptationMultilingual Sentiment AnalysisSentiment-aware NLGBias in Sentiment Analysis SystemsRobust Sentiment Analysis
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Robust Sentiment Analysis
- Adversarial Attack on Sentiment Classification | ACL 2019 Workshop
ACL 2019 Workshop
- Adversarial Training for Aspect-Based Sentiment Analysis with BERT
- LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification | EMNLP 2019
EMNLP 2019
- Word-level Textual Adversarial Attacking as Combinatorial Optimization | ACL 2020
ACL 2020
Sentiment-aware NLG
- Affect-LM: A Neural Language Model for Customizable Affective Text Generation
- A Pattern-Based Model for Generating Text to Express Emotion
- Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer
- Disentangled Representation Learning for Non-Parallel Text Style Transfer
- Emotional chatting machine: Emotional conversation generation with internal and external memory
- Learning to Generate Product Reviews from Attributes
Beginner's Guide (Must-Read Papers)
- A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
- Convolutional neural networks for sentence classification
- Effects of adjective orientation and gradability on sentence subjectivity
- Recursive deep models for semantic compositionality over a sentiment treebank
- SENTIWORDNET: A publicly available lexical resource for opinion mining
- Thumbs up?: sentiment classification using machine learning techniques
Aspect-based Sentiment Analysis
- Aspect extraction for opinion mining with a deep convolutional neural network
- Aspect Specific Sentiment Analysis using Hierarchical Deep Learning
- Attention-based LSTM for aspect-level sentiment classification
- Automated Rule Selection for Aspect Extraction in Opinion Mining
- Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification
- DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
Survey, Books, and Opinion Pieces
Domain Adaptation
- Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification
- Cross-domain sentiment classification via spectral feature alignment
- Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach
- Domain Separation Networks
- Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
- Marginalized Denoising Autoencoders for Domain Adaptation
Sarcasm Analysis
- CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
- Contextualized Sarcasm Detection on Twitter
- Detecting Sarcasm in Multimodal Social Platforms
- Exploring Author Context for Detecting Intended vs Perceived Sarcasm
- Harnessing Cognitive Features for Sarcasm Detection
- Harnessing Context Incongruity for Sarcasm Detection
Sentiment Reasoning
Showing a sample of 93 resources. View the full list on GitHub →