Co-occurring keywords · papers mentioning both
Papers
TrentoTeam at SemEval-2017 Task 3: An application of Grice Maxims in Ranking Community Question Answers
SemEval 2017
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking
EMNLP 2017
Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter
SemEval 2017
TWINA at SemEval-2017 Task 4: Twitter Sentiment Analysis with Ensemble Gradient Boost Tree Classifier
SemEval 2017
TwiSe at SemEval-2017 Task 4: Five-point Twitter Sentiment Classification and Quantification
SemEval 2017
UCSC-NLP at SemEval-2017 Task 4: Sense n-grams for Sentiment Analysis in Twitter
SemEval 2017
Understanding and Predicting Empathic Behavior in Counseling Therapy
ACL 2017
User-Based Opinion-based Recommendation
IJCAI 2017
Using Argument-based Features to Predict and Analyse Review Helpfulness
EMNLP 2017
Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia
EMNLP 2017
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
EMNLP 2017
Using Twitter Language to Predict the Real Estate Market
EACL 2017
UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation
SemEval 2017
Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models
ACL 2017
A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
COLING 2016
A Hybrid Deep Learning Architecture for Sentiment Analysis
COLING 2016
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets
COLING 2016
Analyzing Gender Bias in Student Evaluations
COLING 2016
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
ICML 2016
Aspect Based Sentiment Analysis using Sentiment Flow with Local and Non-local Neighbor Information
COLING 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
NeurIPS 2016
Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression
COLING 2016
Chinese Textual Sentiment Analysis: Datasets, Resources and Tools
COLING 2016
Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts
COLING 2016
Content-based Influence Modeling for Opinion Behavior Prediction
COLING 2016