Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment Analysis.
SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News
Strawman: an Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Delta TFIDF : An Improved Feature Space for Sentiment Analysis
Deep Belief Networks with Feature Selection for Sentiment Classification
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches
Active Deep Networks for Semi-Supervised Sentiment Classification
NLANGP at SemEval-2016 Task 5: Improving Aspect Based Sentiment Analysis using Neural Network Features
Twitter Sentiment Analysis with Deep Convolutional Neural Networks
Fine-grained financial news sentiment analysis
Finki at SemEval-2016 Task 4: Deep Learning Architecture for Twitter Sentiment Analysis
Deep Sentiment Representation Based on CNN and LSTM
A comparative study of feature selection and machine learning techniques for sentiment analysis
Stream-based active learning for sentiment analysis in the financial domain
Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter
Leveraging Sparse and Dense Feature Combinations for Sentiment Classification
Twitter Sentiment Analysis: A Bootstrap Ensemble Framework
Document Modeling with Hierarchical Deep Learning Approach for Sentiment Classification
Feature Selection and Weighting Methods in Sentiment Analysis
Sentiment Analysis: Mining Opinions, Sentiments, and Emotions
Voltage flicker mitigation using PWM-based distribution STATCOM
A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods
data mining with r : learning with case studies .
The Enrichment of BPMN Business Process Model with SBVR Business Vocabulary and Rules
Thumbs Up? Sentiment Classification Using Machine Learning Techniques