awesome-nlp-sentiment-analysis

haiker2011/awesome-nlp-sentiment-analysis is ranked 14,887 among these 8 peers; vvincenttttt/Awesome-3D-Object-Detection is ranked 14,893.

**Deep Learning for Sentiment analysis: A Survey. **An Ensemble Approach for Emotion Cause Detection with Event Extraction and Multi-Kernel SVMs. **Event-Driven Emotion Cause Extraction with Corpus Construction. **A Question Answering Approach to Emotion Cause Extraction. **A Bootstrap Method for Automatic Rule Acquisition on Emotion Cause Extraction. **Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model. **Emotion Cause Detection with Linguistic Constructions. **Emotion Cause Extraction, A Challenging Task with Corpus Construction. **Extracting Causes of Emotions from Text

. **A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness. **Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. **Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings. **Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction. **A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. **Aspect extraction for opinion mining with a deep convolutional neural network. **Recursive neural conditional random fields for aspect-based

sentiment analysis. **Coupled multi-layer attentions for co-extraction of aspect and opinion terms.