Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Identifying Emotions in Social Media: Comparison of Word-Emotion Lexicons
DepecheMood: a Lexicon for Emotion Analysis from Crowd-Annotated News
Learning Sentiment Lexicons in Spanish
EmpaTweet: Annotating and Detecting Emotions on Twitter
Automatic Construction of a Context-Aware Sentiment Lexicon: An Optimization Approach
Discovering Correspondence of Sentiment Words and Aspects
Using the Revised Dictionary of Affect in Language to Quantify the Emotional Undertones of Samples of Natural Language
A Large Scale Arabic Sentiment Lexicon for Arabic Opinion Mining
Learning to identify emotions in text
Combining Lexicon-based and Learning-based Methods for Twitter Sentiment Analysis
Processing Affect in Social Media: A Comparison of Methods to Distinguish Emotions in Tweets
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora
LEXER: LEXicon Based Emotion AnalyzeR
Emotion Detection from text: A Survey
Classifying Emotions in Customer Support Dialogues in Social Media
Building Sentiment Lexicons for All Major Languages
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs
A Framework for Analyzing Big Social Data and Modelling Emotions in Social Media
Discovering Basic Emotion Sets via Semantic Clustering on a Twitter Corpus
Hierarchical emotion classification and emotion component analysis on chinese micro-blog posts
Emotion Detection from Text via Ensemble Classification Using Word Embeddings
Types and Causes of Velopharyngeal Dysfunction
A Framework for Understanding the Critical Success Factors of Enterprise Business Intelligence Implementation
Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data
Deep learning similarities from different representations of source code
Twitter mood predicts the stock market