29 lines (26 loc) · 4.98 KB

Sentiment Analysis and Stance Detection

General

Introduction to Sentiment Analysis, [slides], [blog].
OSU Twitter NLP Tools, [aritter/twitter_nlp].
[2016 ACM] Stance and Sentiment in Tweets, [paper].

Sentiment Analysis

[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 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].