Sentiment Analysis

  1. Advanced Topics and Challenges
    1. Sarcasm and Irony Detection
      1. Sarcasm Characteristics
        1. Detection Approaches
          1. Lexical Features
            1. Contextual Features
              1. Pragmatic Features
              2. Irony Detection
                1. Datasets and Benchmarks
                  1. Evaluation Challenges
                  2. Emotion Analysis
                    1. Emotion Models
                      1. Categorical Models
                        1. Ekman's Basic Emotions
                          1. Plutchik's Wheel
                          2. Dimensional Models
                            1. Valence-Arousal Model
                              1. PAD Model
                            2. Emotion Detection Methods
                              1. Lexicon-Based Approaches
                                1. Machine Learning Approaches
                                  1. Deep Learning Approaches
                                  2. Multi-Label Emotion Classification
                                    1. Emotion Intensity Prediction
                                    2. Negation Handling
                                      1. Negation Cue Detection
                                        1. Scope Determination
                                          1. Negation Resolution
                                            1. Complex Negation Patterns
                                              1. Evaluation Methods
                                              2. Multilingual Sentiment Analysis
                                                1. Language-Specific Challenges
                                                  1. Cross-Lingual Methods
                                                    1. Machine Translation
                                                      1. Cross-Lingual Embeddings
                                                        1. Multilingual Models
                                                        2. Code-Switching
                                                          1. Low-Resource Languages
                                                          2. Multimodal Sentiment Analysis
                                                            1. Text-Image Fusion
                                                              1. Text-Audio Fusion
                                                                1. Text-Video Fusion
                                                                  1. Feature Extraction Methods
                                                                    1. Fusion Strategies
                                                                      1. Multimodal Datasets
                                                                      2. Temporal Sentiment Analysis
                                                                        1. Time-Aware Models
                                                                          1. Sentiment Evolution
                                                                            1. Trend Analysis
                                                                              1. Dynamic Sentiment
                                                                              2. Real-Time Processing
                                                                                1. Streaming Data Handling
                                                                                  1. Online Learning
                                                                                    1. Scalability Issues
                                                                                      1. Latency Optimization
                                                                                        1. Distributed Processing