classification.md

Sentiment/Text Classification

Including Sentiment Analysis, Stance Detection and Text Classification and etc.

Text, Sentence and Document Classification

• [2014 EMNLP] Convolutional Neural Networks for Sentence Classification, [paper], [bibtex] sources: [yoonkim/CNN_sentence], [dennybritz/cnn-text-classification-tf].
• [2015 ACL] Deep Unordered Composition Rivals Syntactic Methods for Text Classification, [paper], [bibtex], [slides], sources: [miyyer/dan].
• [2015 AAAI] Recurrent Convolutional Neural Networks for Text Classification, [paper], [bibtex], sources: [knok/rcnn-text-classification], [airalcorn2/Recurrent-Convolutional-Neural-Network-Text-Classifier].
• [2016 NAACL] Hierarchical Attention Networks for Document Classification, [paper], [bibtex], sources: [richliao/textClassifier], [ematvey/hierarchical-attention-networks].
• [2017 EACL] Bag of Tricks for Efficient Text Classification, [paper], [bibtex], sources: [facebookresearch/fastText].
• [2017 ArXiv] Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?, [paper], [bibtex], sources: [zhangxiangxiao/glyph].
• [2017 ArXiv] Multi-Task Label Embedding for Text Classification, [paper], [bibtex], [blog].
• [2017 ICLR] Adversarial Training Methods For Semi-Supervised Text Classification, [paper], [bibtex], sources: [TobiasLee/Text-Classification].
• [2017 IJCNLP] PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts, [paper], [bibtex], sources: [Franck-Dernoncourt/pubmed-rct].
• [2017 ACL] Adversarial Multi-task Learning for Text Classification, [paper], [bibtex], sources: [FrankWork/fudan_mtl_reviews].
• [2018 ArXiv] Densely Connected Bidirectional LSTM with Applications to Sentence Classification, [paper], [bibtex], source: [IsaacChanghau/Dense_BiLSTM].
• [2018 NAACL] Multinomial Adversarial Networks for Multi-Domain Text Classification, [paper], [bibtex] sources: [ccsasuke/man].
• [2018 EMNLP] Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts, [paper], [bibtex].
• [2019 AAAI] Graph Convolutional Networks for Text Classification, [paper], [bibtex], sources: [yao8839836/text_gcn].

Sentiment Analysis

• Introduction to Sentiment Analysis, [slides], [blog].
• [2013 EMNLP] Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank, [paper], sources: [rksltnl/RNTN], [awni/semantic-rntn], [rgobbel/rntn].
• [2014 ACL] A Convolutional Neural Network for Modelling Sentences, [paper], sources: [hritik25/Dynamic-CNN-for-Modelling-Sentences], [FredericGodin/DynamicCNN].
• [2015 EMNLP] Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-Level Multimodal Sentiment Analysis, [paper].
• [2015 ACL] Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks, cover semantic relatedness and sentiment classification tasks. [paper], sources: [stanfordnlp/treelstm], [nicolaspi/treelstm], [sapruash/RecursiveNN], [dallascard/TreeLSTM].
• [2016 EMNLP] A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis, [paper].
• [2016 EMNLP] Attention-based LSTM for Aspect-level Sentiment Classification, [paper], sources: [scaufengyang/TD-LSTM].
• [2016 ICDM] Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis, [paper], sources: [SenticNet/multimodal-sentiment-detection].
• [2017 ICME] Select-additive Learning: Improving Generalization in Multimodal Sentiment Analysis, [paper], sources: [HaohanWang/SelectAdditiveLearning].
• [2017 ICMI] Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning, [paper].
• [2017 ACM SIGIR] Multitask Learning for Fine-Grained Twitter Sentiment Analysis, [paper], sources: [balikasg/sigir2017].
• [2017 EMNLP] Tensor Fusion Network for Multimodal Sentiment Analysis, [paper], sources: [A2Zadeh/TensorFusionNetwork].
• [2017 ACL] Context-Dependent Sentiment Analysis in User-Generated Videos, [paper], sources: [SenticNet/contextual-sentiment-analysis].
• [2018 ACL] Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis, [paper], [data].
• [2018 AAAI] Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM, [paper].
• [2018 Cognitive Computation] Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis, [paper], sources: [SenticNet/sentic-lstm].

Stance Detection

• [2016 ACM] Stance and Sentiment in Tweets, [paper].
• [2016 SemEval] SemEval-2016 Task 6: Detecting Stance in Tweets, [paper], [homepage], [The SemEval-2016 Stance Dataset].
• [2016 SemEval] DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs, [paper].
• [2016 SEM@ACL] Detecting Stance in Tweets And Analyzing its Interaction with Sentiment, [paper], sources: [vishaalmohan/twitter-stance-detection].
• [2018 ECIR] Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention, [paper].