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awesome-sentiment-analysis
Reading list for Awesome Sentiment Analysis papers
https://github.com/declare-lab/awesome-sentiment-analysis
- Word sense and subjectivity
- Thumbs up?: sentiment classification using machine learning techniques
- A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
- Mining and summarizing customer reviews
- Recursive deep models for semantic compositionality over a sentiment treebank
- Convolutional neural networks for sentence classification
- Contextual valence shifters
- SENTIWORDNET: A publicly available lexical resource for opinion mining
- Sentiment Analysis and Opinion Mining
- Challenges in Sentiment Analysis
- Automatic Sarcasm Detection: A Survey
- Generating natural language under pragmatic constraints
- A survey of opinion mining and sentiment analysis
- A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
- Mining and summarizing customer reviews
- Topic sentiment mixture: modeling facets and opinions in weblogs
- Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification
- Opinion Word Expansion and Target Extraction through Double Propagation
- Automated Rule Selection for Aspect Extraction in Opinion Mining
- Aspect extraction for opinion mining with a deep convolutional neural network
- Lifelong Learning CRF for Supervised Aspect Extraction
- Attention-based LSTM for aspect-level sentiment classification
- Dyadic Memory Networks for Aspect-based Sentiment Analysis
- Aspect Specific Sentiment Analysis using Hierarchical Deep Learning
- DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction
- Multimodal sentiment analysis
- Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis
- Context-Dependent Sentiment Analysis in User-Generated Videos
- Multimodal sentiment analysis using hierarchical fusion with context modeling
- Tensor Fusion Network for Multimodal Sentiment Analysis
- Efficient Low-rank Multimodal Fusion With Modality-Specific Factors
- Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
- Memory Fusion Network for Multi-view Sequential Learning
- Multi-attention Recurrent Network for Human Communication Comprehension
- Contextual Inter-modal Attention for Multi-modal Sentiment Analysis
- Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis
- Multimodal Transformer for Unaligned Multimodal Language Sequences
- Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis
- Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities
- Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
- Coarse-grained +/-effect word sense disambiguation for implicit sentiment analysis
- Sentiment propagation via implicature constraints
- Context-dependent sentiment analysis in user-generated videos
- Enhanced twitter sentiment classification using contextual information
- Contextual valence shifters
- End-to-end joint opinion role labeling with BERT
- Joint inference for fine-grained opinion extraction
- Reflections on Sentiment/Opinion Analysis
- Coarse-grained +/-effect word sense disambiguation for implicit sentiment analysis
- Sentiment propagation via implicature constraints
- ICWSM - A Great Catchy Name: Semi-Supervised Recognition of Sarcastic Sentences in Online Product Reviews
- Identifying Sarcasm in Twitter: A Closer Look
- Sarcasm as Contrast between a Positive Sentiment and Negative Situation
- Contextualized Sarcasm Detection on Twitter
- Exploring Author Context for Detecting Intended vs Perceived Sarcasm
- Harnessing Context Incongruity for Sarcasm Detection
- Sarcasm Analysis Using Conversation Context
- Reasoning with Sarcasm by Reading In-between
- Detecting Sarcasm in Multimodal Social Platforms
- Harnessing Cognitive Features for Sarcasm Detection
- CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
- The Effect of Sociocultural Variables on Sarcasm Communication Online
- iSarcasm: A Dataset of Intended Sarcasm
- Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)
- Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification
- Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach
- Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
- Marginalized Denoising Autoencoders for Domain Adaptation
- Unsupervised Domain Adaptation by Backpropagation
- Domain Separation Networks
- Cross-domain sentiment classification via spectral feature alignment
- Pivot Based Language Modeling for Improved Neural Domain Adaptation
- Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques
- Comparing the Level of Code-Switching in Corpora
- De-Mixing Sentiment from Code-Mixed Text
- The effects of affective interventions in human-computer interaction
- Predicting and Eliciting Addressee’s Emotion in Online Dialogue
- Emotional chatting machine: Emotional conversation generation with internal and external memory
- Affect-LM: A Neural Language Model for Customizable Affective Text Generation
- A Pattern-Based Model for Generating Text to Express Emotion
- Toward Controlled Generation of Text
- SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks
- Learning to Generate Reviews and Discovering Sentiment
- Learning to Generate Product Reviews from Attributes
- Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer
- Disentangled Representation Learning for Non-Parallel Text Style Transfer
- Style Transfer from Non-Parallel Text by Cross-Alignment
- Examining gender and race bias in two hundred sentiment analysis systems
- Exploring demographic language variations to improve multilingual sentiment analysis in social media
- The geography of happiness: Connecting twitter sentiment and expression, demographics, and objective characteristics of place
- Word-level Textual Adversarial Attacking as Combinatorial Optimization | ACL 2020
- LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification | EMNLP 2019
- Adversarial Attack on Sentiment Classification | ACL 2019 Workshop
- Adversarial Training for Aspect-Based Sentiment Analysis with BERT