Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: A Framework for Analyzing Big Social Data and Modelling Emotions in Social Media
Meta-level sentiment models for big social data analysis
S-Sense: A Sentiment Analysis Framework for Social Media Sensing
User-level sentiment analysis incorporating social networks
SocialHelix: visual analysis of sentiment divergence in social media
Identifying Emotions in Social Media: Comparison of Word-Emotion Lexicons
Classifying Emotions in Customer Support Dialogues in Social Media
A review of opinion mining and sentiment classification framework in social networks
Detecting emotions in social media: a constrained optimization approach
Exploiting Neural Embeddings for Social Media Data Analysis
A Survey of Data Mining Techniques for Social Media Analysis
Multimodal Sentiment Analysis of Social Media
A computational approach to the analysis and generation of emotion in text
A domain-independent framework for modeling emotion
Using a Heterogeneous Dataset for Emotion Analysis in Text
Big data and sentiment analysis using KNIME: Online reviews vs. social media
Coarse-and Fine-Grained Sentiment Analysis of Social Media Text
How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs
Sentiment Analysis and Text Mining for Social Media Microblogs using Open Source Tools: An Empirical Study
Hierarchical emotion classification and emotion component analysis on chinese micro-blog posts
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis
Compiling for reconfigurable computing: A survey
The WEKA data mining software: an update
Post-merger IT integration strategies: An IT alignment perspective
Image segmentation using fuzzy min-max neural networks for wood defect detection
Evaluating entity linking: An analysis of current benchmark datasets and a roadmap for doing a better job